Topic_Modeling.ipynb

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      "name": "python3",
      "display_name": "Python 3"
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    "language_info": {
      "name": "python"
    }
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/daniel-usp/Python/blob/main/Topic_Modeling.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "-EwG9XdKd8Ap"
      },
      "outputs": [],
      "source": []
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yveheA4dd-1r",
        "outputId": "0cc5aed5-7ebf-44a5-bf36-c64c9cb597fc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.\n",
            "  and should_run_async(code)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "ticket = 'inadimplencia'\n",
        "folder_path = '/content/drive/MyDrive/Estudos/Pesquisa - Diversificação de Ações/Long - Short/Algoritmos/News_Code/inadimplencia/'\n",
        "variable_name = f'{ticket}_news.xlsx'\n",
        "\n",
        "# Construindo o caminho completo do arquivo\n",
        "file_path = folder_path + variable_name\n",
        "\n",
        "# Carregando o arquivo em um dataframe\n",
        "dataframe = pd.read_excel(file_path)\n",
        "\n",
        "# Exibindo os primeiros registros do dataframe\n",
        "print(dataframe.head())"
      ],
      "metadata": {
        "id": "_1puWMYEd-4D",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e6a4a03f-79a5-4ab3-8386-edcdf212a033"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.\n",
            "  and should_run_async(code)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "   Unnamed: 0                                              title  \\\n",
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            "\n",
            "                                         description  \\\n",
            "0  Consultor Jurídico - Notícias, 3/1/2021 - Inst...   \n",
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            "4  Inadimplência segue em queda em dezembro, diz CNC   \n",
            "\n",
            "                                             content  \\\n",
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            "2  MB Marina Barbosa\\n(crédito: Marcello Casal Jr...   \n",
            "3  SÃO PAULO, SP (FOLHAPRESS) – A inadimplência d...   \n",
            "4  Com auxílio emergencial, inadimplência segue e...   \n",
            "\n",
            "                                                 url  \\\n",
            "0  https://www.conjur.com.br/2021-jan-03/institui...   \n",
            "1  https://www.correiobraziliense.com.br/economia...   \n",
            "2  https://www.correiobraziliense.com.br/economia...   \n",
            "3  https://www.mixvale.com.br/2021/01/05/com-auxi...   \n",
            "4  https://www.otempo.com.br/economia/com-auxilio...   \n",
            "\n",
            "                                               image           publishedAt  \\\n",
            "0  https://s.conjur.com.br/img/b/livros-livro-est...  2021-01-03T18:53:00Z   \n",
            "1  https://midias.correiobraziliense.com.br/_midi...  2021-01-04T03:00:00Z   \n",
            "2  https://midias.correiobraziliense.com.br/_midi...  2021-01-04T03:00:00Z   \n",
            "3  https://gmzsf29nl4v47muwukfruijc-wpengine.netd...  2021-01-05T22:32:00Z   \n",
            "4  https://www.otempo.com.br/image/contentid/poli...  2021-01-05T19:52:25Z   \n",
            "\n",
            "                                       publishedAt.1  \n",
            "0  {'name': 'Consultor Jurídico', 'url': 'https:/...  \n",
            "1  {'name': 'Correio Braziliense', 'url': 'https:...  \n",
            "2  {'name': 'Correio Braziliense', 'url': 'https:...  \n",
            "3  {'name': 'Portal Mix Vale', 'url': 'https://ww...  \n",
            "4  {'name': 'O Tempo', 'url': 'https://www.otempo...  \n"
          ]
        }
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    {
      "cell_type": "code",
      "source": [
        "# Convertendo a coluna 'data' para o tipo datetime\n",
        "dataframe['data'] = pd.to_datetime(dataframe['publishedAt'] )\n",
        "# Criando uma nova coluna com a combinação de dia, mês e ano\n",
        "dataframe['data_index'] = dataframe['data'].dt.strftime('%d/%m/%Y')\n",
        "# Definindo a coluna 'data_index' como o índice do DataFrame\n",
        "dataframe.set_index('data_index', inplace=True)\n",
        "# Exibindo o DataFrame resultante\n",
        "dataframe\n"
      ],
      "metadata": {
        "id": "V9A0o6pDd-6m",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "b25106f6-2cbc-483b-c0fe-0efabc2e6c89"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.\n",
            "  and should_run_async(code)\n"
          ]
        },
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              "            Unnamed: 0                                              title  \\\n",
              "data_index                                                                  \n",
              "03/01/2021           0  Instituição de ensino não pode impedir TCC por...   \n",
              "04/01/2021           1  Número de brasileiros com dívidas cresce no fi...   \n",
              "04/01/2021           2  Crédito aumenta, mas fica mais para o consumid...   \n",
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              "05/01/2021           4  Com auxílio emergencial, inadimplência segue e...   \n",
              "...                ...                                                ...   \n",
              "31/05/2023         583  UE vai propor maior transparência para CDS de ...   \n",
              "01/06/2023         584  Bradesco (BBDC4): Itaú BBA \"não concorda\" com ...   \n",
              "01/06/2023         585  PL dos Seguros facilita a inadimplência? Espec...   \n",
              "03/06/2023         586  Biden assina lei que suspende teto da dívida d...   \n",
              "03/06/2023         587  MEIs do Norte registram maiores índices de ina...   \n",
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              "05/01/2021  Inadimplência segue em queda em dezembro, diz CNC   \n",
              "...                                                       ...   \n",
              "31/05/2023  Por Huw Jones LONDRES (Reuters) - A Comissão E...   \n",
              "01/06/2023  Banco provavelmente terá que lidar com safras ...   \n",
              "01/06/2023  Texto em discussão no Congresso busca criar no...   \n",
              "03/06/2023  Congresso aprovou legislação na 5ª feira (1º.j...   \n",
              "03/06/2023  Mais de 70% dos microempreendedores individuai...   \n",
              "\n",
              "                                                      content  \\\n",
              "data_index                                                      \n",
              "03/01/2021  Uma instituição de ensino não pode impedir a a...   \n",
              "04/01/2021  MB Marina Barbosa\\n(crédito: Agencia Brasil)\\n...   \n",
              "04/01/2021  MB Marina Barbosa\\n(crédito: Marcello Casal Jr...   \n",
              "05/01/2021  SÃO PAULO, SP (FOLHAPRESS) – A inadimplência d...   \n",
              "05/01/2021  Com auxílio emergencial, inadimplência segue e...   \n",
              "...                                                       ...   \n",
              "31/05/2023  Por Huw Jones\\nLONDRES (Reuters) - A Comissão ...   \n",
              "01/06/2023  O Itaú BBA reiterou sua visão pessimista com a...   \n",
              "01/06/2023  A forma como a inadimplência no pagamento da a...   \n",
              "03/06/2023  Congresso aprovou legislação na 5ª feira (1º.j...   \n",
              "03/06/2023  Mais de 70% dos microempreendedores individuai...   \n",
              "\n",
              "                                                          url  \\\n",
              "data_index                                                      \n",
              "03/01/2021  https://www.conjur.com.br/2021-jan-03/institui...   \n",
              "04/01/2021  https://www.correiobraziliense.com.br/economia...   \n",
              "04/01/2021  https://www.correiobraziliense.com.br/economia...   \n",
              "05/01/2021  https://www.mixvale.com.br/2021/01/05/com-auxi...   \n",
              "05/01/2021  https://www.otempo.com.br/economia/com-auxilio...   \n",
              "...                                                       ...   \n",
              "31/05/2023  https://economia.uol.com.br/noticias/reuters/2...   \n",
              "01/06/2023  https://www.infomoney.com.br/mercados/bradesco...   \n",
              "01/06/2023  https://www.infomoney.com.br/minhas-financas/p...   \n",
              "03/06/2023  https://www.poder360.com.br/internacional/bide...   \n",
              "03/06/2023  https://www.poder360.com.br/poder-empreendedor...   \n",
              "\n",
              "                                                        image  \\\n",
              "data_index                                                      \n",
              "03/01/2021  https://s.conjur.com.br/img/b/livros-livro-est...   \n",
              "04/01/2021  https://midias.correiobraziliense.com.br/_midi...   \n",
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              "05/01/2021  https://www.otempo.com.br/image/contentid/poli...   \n",
              "...                                                       ...   \n",
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              "05/01/2021  2021-01-05T22:32:00Z   \n",
              "05/01/2021  2021-01-05T19:52:25Z   \n",
              "...                          ...   \n",
              "31/05/2023  2023-05-31T03:00:00Z   \n",
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              "03/06/2023  2023-06-03T17:00:56Z   \n",
              "\n",
              "                                                publishedAt.1  \\\n",
              "data_index                                                      \n",
              "03/01/2021  {'name': 'Consultor Jurídico', 'url': 'https:/...   \n",
              "04/01/2021  {'name': 'Correio Braziliense', 'url': 'https:...   \n",
              "04/01/2021  {'name': 'Correio Braziliense', 'url': 'https:...   \n",
              "05/01/2021  {'name': 'Portal Mix Vale', 'url': 'https://ww...   \n",
              "05/01/2021  {'name': 'O Tempo', 'url': 'https://www.otempo...   \n",
              "...                                                       ...   \n",
              "31/05/2023  {'name': 'UOL', 'url': 'https://economia.uol.c...   \n",
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              "03/06/2023  {'name': 'Poder360', 'url': 'https://www.poder...   \n",
              "\n",
              "                                data  \n",
              "data_index                            \n",
              "03/01/2021 2021-01-03 18:53:00+00:00  \n",
              "04/01/2021 2021-01-04 03:00:00+00:00  \n",
              "04/01/2021 2021-01-04 03:00:00+00:00  \n",
              "05/01/2021 2021-01-05 22:32:00+00:00  \n",
              "05/01/2021 2021-01-05 19:52:25+00:00  \n",
              "...                              ...  \n",
              "31/05/2023 2023-05-31 03:00:00+00:00  \n",
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              "03/06/2023 2023-06-03 20:53:16+00:00  \n",
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              "      <th>03/01/2021</th>\n",
              "      <td>0</td>\n",
              "      <td>Instituição de ensino não pode impedir TCC por...</td>\n",
              "      <td>Consultor Jurídico - Notícias, 3/1/2021 - Inst...</td>\n",
              "      <td>Uma instituição de ensino não pode impedir a a...</td>\n",
              "      <td>https://www.conjur.com.br/2021-jan-03/institui...</td>\n",
              "      <td>https://s.conjur.com.br/img/b/livros-livro-est...</td>\n",
              "      <td>2021-01-03T18:53:00Z</td>\n",
              "      <td>{'name': 'Consultor Jurídico', 'url': 'https:/...</td>\n",
              "      <td>2021-01-03 18:53:00+00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>04/01/2021</th>\n",
              "      <td>1</td>\n",
              "      <td>Número de brasileiros com dívidas cresce no fi...</td>\n",
              "      <td>Segundo a Confederação Nacional do Comércio (C...</td>\n",
              "      <td>MB Marina Barbosa\\n(crédito: Agencia Brasil)\\n...</td>\n",
              "      <td>https://www.correiobraziliense.com.br/economia...</td>\n",
              "      <td>https://midias.correiobraziliense.com.br/_midi...</td>\n",
              "      <td>2021-01-04T03:00:00Z</td>\n",
              "      <td>{'name': 'Correio Braziliense', 'url': 'https:...</td>\n",
              "      <td>2021-01-04 03:00:00+00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>04/01/2021</th>\n",
              "      <td>2</td>\n",
              "      <td>Crédito aumenta, mas fica mais para o consumid...</td>\n",
              "      <td>Volume de empréstimos e financiamentos cresceu...</td>\n",
              "      <td>MB Marina Barbosa\\n(crédito: Marcello Casal Jr...</td>\n",
              "      <td>https://www.correiobraziliense.com.br/economia...</td>\n",
              "      <td>https://midias.correiobraziliense.com.br/_midi...</td>\n",
              "      <td>2021-01-04T03:00:00Z</td>\n",
              "      <td>{'name': 'Correio Braziliense', 'url': 'https:...</td>\n",
              "      <td>2021-01-04 03:00:00+00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>05/01/2021</th>\n",
              "      <td>3</td>\n",
              "      <td>Com auxílio emergencial, inadimplência segue e...</td>\n",
              "      <td>SÃO PAULO, SP (FOLHAPRESS) - A inadimplência d...</td>\n",
              "      <td>SÃO PAULO, SP (FOLHAPRESS) – A inadimplência d...</td>\n",
              "      <td>https://www.mixvale.com.br/2021/01/05/com-auxi...</td>\n",
              "      <td>https://gmzsf29nl4v47muwukfruijc-wpengine.netd...</td>\n",
              "      <td>2021-01-05T22:32:00Z</td>\n",
              "      <td>{'name': 'Portal Mix Vale', 'url': 'https://ww...</td>\n",
              "      <td>2021-01-05 22:32:00+00:00</td>\n",
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              "      <th>05/01/2021</th>\n",
              "      <td>4</td>\n",
              "      <td>Com auxílio emergencial, inadimplência segue e...</td>\n",
              "      <td>Inadimplência segue em queda em dezembro, diz CNC</td>\n",
              "      <td>Com auxílio emergencial, inadimplência segue e...</td>\n",
              "      <td>https://www.otempo.com.br/economia/com-auxilio...</td>\n",
              "      <td>https://www.otempo.com.br/image/contentid/poli...</td>\n",
              "      <td>2021-01-05T19:52:25Z</td>\n",
              "      <td>{'name': 'O Tempo', 'url': 'https://www.otempo...</td>\n",
              "      <td>2021-01-05 19:52:25+00:00</td>\n",
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              "      <th>31/05/2023</th>\n",
              "      <td>583</td>\n",
              "      <td>UE vai propor maior transparência para CDS de ...</td>\n",
              "      <td>Por Huw Jones LONDRES (Reuters) - A Comissão E...</td>\n",
              "      <td>Por Huw Jones\\nLONDRES (Reuters) - A Comissão ...</td>\n",
              "      <td>https://economia.uol.com.br/noticias/reuters/2...</td>\n",
              "      <td>https://conteudo.imguol.com.br/c/_layout/v3/lo...</td>\n",
              "      <td>2023-05-31T03:00:00Z</td>\n",
              "      <td>{'name': 'UOL', 'url': 'https://economia.uol.c...</td>\n",
              "      <td>2023-05-31 03:00:00+00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>01/06/2023</th>\n",
              "      <td>584</td>\n",
              "      <td>Bradesco (BBDC4): Itaú BBA \"não concorda\" com ...</td>\n",
              "      <td>Banco provavelmente terá que lidar com safras ...</td>\n",
              "      <td>O Itaú BBA reiterou sua visão pessimista com a...</td>\n",
              "      <td>https://www.infomoney.com.br/mercados/bradesco...</td>\n",
              "      <td>https://www.infomoney.com.br/wp-content/upload...</td>\n",
              "      <td>2023-06-01T18:45:30Z</td>\n",
              "      <td>{'name': 'InfoMoney', 'url': 'https://www.info...</td>\n",
              "      <td>2023-06-01 18:45:30+00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>01/06/2023</th>\n",
              "      <td>585</td>\n",
              "      <td>PL dos Seguros facilita a inadimplência? Espec...</td>\n",
              "      <td>Texto em discussão no Congresso busca criar no...</td>\n",
              "      <td>A forma como a inadimplência no pagamento da a...</td>\n",
              "      <td>https://www.infomoney.com.br/minhas-financas/p...</td>\n",
              "      <td>https://www.infomoney.com.br/wp-content/upload...</td>\n",
              "      <td>2023-06-01T18:01:40Z</td>\n",
              "      <td>{'name': 'InfoMoney', 'url': 'https://www.info...</td>\n",
              "      <td>2023-06-01 18:01:40+00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>03/06/2023</th>\n",
              "      <td>586</td>\n",
              "      <td>Biden assina lei que suspende teto da dívida d...</td>\n",
              "      <td>Congresso aprovou legislação na 5ª feira (1º.j...</td>\n",
              "      <td>Congresso aprovou legislação na 5ª feira (1º.j...</td>\n",
              "      <td>https://www.poder360.com.br/internacional/bide...</td>\n",
              "      <td>https://static.poder360.com.br/2023/03/joe-bid...</td>\n",
              "      <td>2023-06-03T20:53:16Z</td>\n",
              "      <td>{'name': 'Poder360', 'url': 'https://www.poder...</td>\n",
              "      <td>2023-06-03 20:53:16+00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>03/06/2023</th>\n",
              "      <td>587</td>\n",
              "      <td>MEIs do Norte registram maiores índices de ina...</td>\n",
              "      <td>Mais de 70% dos microempreendedores individuai...</td>\n",
              "      <td>Mais de 70% dos microempreendedores individuai...</td>\n",
              "      <td>https://www.poder360.com.br/poder-empreendedor...</td>\n",
              "      <td>https://static.poder360.com.br/2023/05/dinheir...</td>\n",
              "      <td>2023-06-03T17:00:56Z</td>\n",
              "      <td>{'name': 'Poder360', 'url': 'https://www.poder...</td>\n",
              "      <td>2023-06-03 17:00:56+00:00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>588 rows × 9 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-750e3ef6-0dbc-4070-b24a-a0e82a3f988c')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
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              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      fill: #1967D2;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-750e3ef6-0dbc-4070-b24a-a0e82a3f988c');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dataframe['content']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cQ5b6VKnd-9Y",
        "outputId": "0939a82f-41a4-491d-d463-46cf9df6da78"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "data_index\n",
              "03/01/2021    Uma instituição de ensino não pode impedir a a...\n",
              "04/01/2021    MB Marina Barbosa\\n(crédito: Agencia Brasil)\\n...\n",
              "04/01/2021    MB Marina Barbosa\\n(crédito: Marcello Casal Jr...\n",
              "05/01/2021    SÃO PAULO, SP (FOLHAPRESS) – A inadimplência d...\n",
              "05/01/2021    Com auxílio emergencial, inadimplência segue e...\n",
              "                                    ...                        \n",
              "31/05/2023    Por Huw Jones\\nLONDRES (Reuters) - A Comissão ...\n",
              "01/06/2023    O Itaú BBA reiterou sua visão pessimista com a...\n",
              "01/06/2023    A forma como a inadimplência no pagamento da a...\n",
              "03/06/2023    Congresso aprovou legislação na 5ª feira (1º.j...\n",
              "03/06/2023    Mais de 70% dos microempreendedores individuai...\n",
              "Name: content, Length: 588, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(dataframe.iloc[0]['content'])"
      ],
      "metadata": {
        "id": "b0gbNTf8GMuX"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "9nd2NYN5Lv6I"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Polaridade\n"
      ],
      "metadata": {
        "id": "V-nsgC0QLwel"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "polaridades1 = [-0.5, -0.4, -0.3, -0.2, -0.4, 0.0, 0.1, 0.2, 0.0, -0.1, -0.3, -0.1, 0.1, -0.2, -0.4, 0.0, 0.1, -0.3, 0.6, 0.1]\n",
        "polaridades2 = [-0.08, -0.17, 0.07, -0.2, 0.19, 0.18, 0.11, -0.13, -0.15, -0.05, -0.09, -0.13, -0.03, -0.04, 0.19, 0.06, -0.1, -0.05, -0.16, -0.14, -0.04, 0.09, 0.11, 0.06, -0.15, -0.18, -0.12, -0.07, 0.06, 0.03, -0.18, -0.08, -0.04, -0.14, 0.15, -0.11, 0.12, -0.09, -0.08, -0.16]\n",
        "polaridades3 = [0.1, 0.3, -0.5, 0.3, -0.2, -0.3, -0.1, 0.2, 0.0, -0.1, 0.2, -0.3, -0.3, 0.3, -0.2, -0.2, 0.2, 0.2, 0.0, 0.1, 0.0, 0.0, 0.1, 0.1, -0.3, 0.1, 0.0, 0.0, 0.1, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0, 0.1, 0.0, -0.1, 0.2]\n",
        "\n",
        "polaridades4 = [0.3, -0.7, -0.6, 0.1, 0.7, 0.0, -0.1, 0.0, -0.1, 0.3, 0.2, -0.3, -0.1, -0.3, 0.2, 0.1, -0.2, -0.2, 0.6, 0.1, 0.6, 0.5, -0.3, 0.1, 0.2]\n",
        "polaridades5 = [0.3, -0.7, 0.2, -0.1, -0.3, 0.6, 0.2, 0.1, -0.3, 0.1, -0.6, 0.3, -0.1, -0.1, 0.0, -0.2, 0.6, -0.2, -0.1, 0.7, -0.3, -0.2, 0.1, -0.2, -0.2]\n",
        "polaridades6 = [-0.173, 0.077, 0.046, -0.036, -0.051, -0.036, -0.036, -0.164, -0.076, -0.196, -0.196, -0.052, -0.052, -0.071, 0.015, -0.064, -0.064, -0.052, 0.054, -0.011, -0.082, -0.123, -0.049, -0.109, -0.069]\n",
        "polaridades7 = [0.19, -0.05, -0.33, -0.21, -0.35, 0.04, 0.04, 0.08, -0.17, 0.23, 0.07, -0.09, 0.18, 0.03, -0.15, -0.11, -0.21, -0.03, -0.1, -0.1, -0.12, -0.06, 0.02, 0.06, -0.01]\n",
        "\n",
        "polaridades8 = [0.42, -0.13, -0.13, 0.02, 0.24, 0.02, 0.21, 0.0, -0.06, 0.24, 0.2, 0.1, 0.07, 0.05, 0.09, -0.04, -0.1, -0.15, 0.01, -0.04, -0.02, 0.16, 0.0, -0.1, 0.15]\n",
        "polaridades9 = [0.1854, -0.2732, 0.8689, -0.8622, -0.296, -0.9432, -0.8622, 0.1027, -0.6705, 0.8074, -0.0258, 0.8074, -0.8622, -0.953, -0.8622, -0.9624, -0.9624, -0.7627, -0.8622, -0.2584, -0.3401, -0.0258, -0.6369, -0.9423, -0.8271]\n",
        "polaridades10 = [-0.5, -0.3, 0.3, 0.1, 0.1, -0.1, -0.3, -0.2, -0.1, 0.3, 0.0, -0.2, -0.3, -0.1, 0.0, -0.2, 0.0, -0.2, 0.0, -0.3, 0.0, 0.0, 0.0, -0.3, 0.2]\n",
        "polaridades11 = [0.8, -0.5, 0.9, -0.3, 0.6, -0.7, 0.2, 0.1, -0.9, 0.4, -0.2, 0.7, -0.6, 0.5, -0.8, 0.3, -0.4, 0.1, 0.6, -0.3, 0.7, -0.5, 0.4, -0.2, -0.6]\n",
        "\n",
        "polaridades12 = [0.2, 0.4, 0.1, -0.2, -0.3, -0.4, -0.3, -0.3, -0.4, -0.3, -0.2, -0.3, -0.2, -0.3, -0.3, -0.3, -0.3, -0.2, -0.1, -0.3, -0.3, -0.2, -0.2, -0.1, -0.3]\n",
        "polaridades13 = [0.9, 0.1, -0.2, 0.1, -0.8, -0.1, -0.1, -0.1, 0.2, 0.1, 0.2, -0.7, -0.1, -0.6, 0.1, 0.1, -0.1, 0.1, 0.2, -0.7, 0.1, -0.5, 0.1, -0.1, 0.1]\n",
        "polaridades14 = [-0.051, -0.062, -0.013, -0.062, -0.156, -0.055, -0.056, -0.062, -0.077, -0.043, -0.059, -0.055, -0.062, -0.061, -0.058, -0.062, -0.062, -0.060, -0.159, -0.052, -0.179, -0.056, -0.062, -0.124, -0.048]\n",
        "polaridades15 = [0.134, -0.123, -0.031, -0.089, -0.007, -0.098, -0.057, 0.045, -0.054, 0.004, -0.014, -0.064, -0.023, -0.107, -0.064, -0.025, 0.019, -0.033, -0.027, 0.091, -0.048, -0.063, 0.024, -0.045, -0.029]\n",
        "\n",
        "polaridades16 = [-0.3, -0.1, -0.6, -0.4, -0.2, -0.5, -0.2, -0.3, -0.3, -0.1, -0.3, -0.2, -0.4, -0.3, -0.5, -0.1, -0.2, -0.1, -0.2, -0.3, -0.4, -0.2, -0.1, -0.4, -0.3]\n",
        "polaridades17 = [-0.16, -0.07, 0.12, 0.06, -0.03, -0.05, -0.14, -0.09, -0.12, -0.05, -0.06, 0.02, -0.02, 0.04, -0.08, 0.02, -0.05, -0.02, 0.11, -0.08, -0.04, -0.09, -0.02, 0.07, -0.03]\n",
        "polaridades18 = [0.0, 0.5, -0.636, -0.82, -0.467, -0.332, -0.51, -0.45, -0.606, -0.387, -0.263, -0.532, -0.548, -0.625, -0.29, -0.308, -0.629, -0.538, -0.473, -0.545, -0.401, -0.541, -0.624, -0.547, -0.345]\n",
        "polaridades19 = [-0.205, -0.073, -0.091, 0.189, -0.132, -0.056, -0.275, -0.061, -0.095, 0.144, -0.196, -0.159, -0.044, -0.125, 0.117, 0.053, -0.022, 0.079, -0.014, 0.083, -0.048, -0.015, -0.039, -0.042, -0.086]\n",
        "\n",
        "polaridades20 = [-0.118, 0.269, -0.059, 0.009, 0.009, -0.231, -0.142, -0.142, 0.013, 0.146, -0.048, 0.180, 0.047, -0.026, 0.007, -0.084, -0.083, 0.053, -0.118, -0.082, -0.088, -0.026, -0.110, -0.097, -0.129]\n",
        "polaridades21 = [0.093, -0.042, -0.055, 0.123, 0.023, -0.021, -0.009, 0.037, -0.048, -0.031, -0.022, -0.018, -0.008, 0.004, 0.057, 0.075, -0.034, -0.033, -0.033, -0.042, -0.04, -0.005, -0.03, -0.047, 0.024]\n",
        "polaridades22 = [0.4389, 0.0765, -0.4375, -0.0106, -0.1053, -0.0106, 0.0, -0.0241, -0.1623, -0.0132, -0.0086, -0.1557, 0.0, -0.0203, -0.0132, 0.0149, 0.0, -0.1698, -0.1411, 0.0795, 0.0795, -0.2357, 0.0, 0.0, 0.0644]\n",
        "polaridades23 = [-0.092, 0.23, -0.222, -0.079, -0.026, 0.02, -0.093, 0.167, -0.015, 0.096, -0.118, -0.037, -0.035, -0.134]\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "y49Dc8R7Lv-W"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(len(polaridades1))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "g4MVKbgBf5Qz",
        "outputId": "2470ee97-be80-467e-d72a-349aab2bea88"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "20\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "polaridades = []\n",
        "polaridades.extend(polaridades1)\n",
        "polaridades.extend(polaridades2)\n",
        "polaridades.extend(polaridades3)\n",
        "polaridades.extend(polaridades4)\n",
        "polaridades.extend(polaridades5)\n",
        "polaridades.extend(polaridades6)\n",
        "polaridades.extend(polaridades7)\n",
        "polaridades.extend(polaridades8)\n",
        "polaridades.extend(polaridades9)\n",
        "polaridades.extend(polaridades10)\n",
        "polaridades.extend(polaridades11)\n",
        "polaridades.extend(polaridades12)\n",
        "polaridades.extend(polaridades13)\n",
        "polaridades.extend(polaridades14)\n",
        "polaridades.extend(polaridades15)\n",
        "polaridades.extend(polaridades16)\n",
        "polaridades.extend(polaridades17)\n",
        "polaridades.extend(polaridades18)\n",
        "polaridades.extend(polaridades19)\n",
        "polaridades.extend(polaridades20)\n",
        "polaridades.extend(polaridades21)\n",
        "polaridades.extend(polaridades22)\n",
        "polaridades.extend(polaridades23)\n",
        "\n",
        "print(polaridades)\n"
      ],
      "metadata": {
        "id": "w1a0lxZsLwCl",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "66e2562a-d3f8-4155-e627-da42671cbd83"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[-0.5, -0.4, -0.3, -0.2, -0.4, 0.0, 0.1, 0.2, 0.0, -0.1, -0.3, -0.1, 0.1, -0.2, -0.4, 0.0, 0.1, -0.3, 0.6, 0.1, -0.08, -0.17, 0.07, -0.2, 0.19, 0.18, 0.11, -0.13, -0.15, -0.05, -0.09, -0.13, -0.03, -0.04, 0.19, 0.06, -0.1, -0.05, -0.16, -0.14, -0.04, 0.09, 0.11, 0.06, -0.15, -0.18, -0.12, -0.07, 0.06, 0.03, -0.18, -0.08, -0.04, -0.14, 0.15, -0.11, 0.12, -0.09, -0.08, -0.16, 0.1, 0.3, -0.5, 0.3, -0.2, -0.3, -0.1, 0.2, 0.0, -0.1, 0.2, -0.3, -0.3, 0.3, -0.2, -0.2, 0.2, 0.2, 0.0, 0.1, 0.0, 0.0, 0.1, 0.1, -0.3, 0.1, 0.0, 0.0, 0.1, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0, 0.1, 0.0, -0.1, 0.2, 0.3, -0.7, -0.6, 0.1, 0.7, 0.0, -0.1, 0.0, -0.1, 0.3, 0.2, -0.3, -0.1, -0.3, 0.2, 0.1, -0.2, -0.2, 0.6, 0.1, 0.6, 0.5, -0.3, 0.1, 0.2, 0.3, -0.7, 0.2, -0.1, -0.3, 0.6, 0.2, 0.1, -0.3, 0.1, -0.6, 0.3, -0.1, -0.1, 0.0, -0.2, 0.6, -0.2, -0.1, 0.7, -0.3, -0.2, 0.1, -0.2, -0.2, -0.173, 0.077, 0.046, -0.036, -0.051, -0.036, -0.036, -0.164, -0.076, -0.196, -0.196, -0.052, -0.052, -0.071, 0.015, -0.064, -0.064, -0.052, 0.054, -0.011, -0.082, -0.123, -0.049, -0.109, -0.069, 0.19, -0.05, -0.33, -0.21, -0.35, 0.04, 0.04, 0.08, -0.17, 0.23, 0.07, -0.09, 0.18, 0.03, -0.15, -0.11, -0.21, -0.03, -0.1, -0.1, -0.12, -0.06, 0.02, 0.06, -0.01, 0.42, -0.13, -0.13, 0.02, 0.24, 0.02, 0.21, 0.0, -0.06, 0.24, 0.2, 0.1, 0.07, 0.05, 0.09, -0.04, -0.1, -0.15, 0.01, -0.04, -0.02, 0.16, 0.0, -0.1, 0.15, 0.1854, -0.2732, 0.8689, -0.8622, -0.296, -0.9432, -0.8622, 0.1027, -0.6705, 0.8074, -0.0258, 0.8074, -0.8622, -0.953, -0.8622, -0.9624, -0.9624, -0.7627, -0.8622, -0.2584, -0.3401, -0.0258, -0.6369, -0.9423, -0.8271, -0.5, -0.3, 0.3, 0.1, 0.1, -0.1, -0.3, -0.2, -0.1, 0.3, 0.0, -0.2, -0.3, -0.1, 0.0, -0.2, 0.0, -0.2, 0.0, -0.3, 0.0, 0.0, 0.0, -0.3, 0.2, 0.8, -0.5, 0.9, -0.3, 0.6, -0.7, 0.2, 0.1, -0.9, 0.4, -0.2, 0.7, -0.6, 0.5, -0.8, 0.3, -0.4, 0.1, 0.6, -0.3, 0.7, -0.5, 0.4, -0.2, -0.6, 0.2, 0.4, 0.1, -0.2, -0.3, -0.4, -0.3, -0.3, -0.4, -0.3, -0.2, -0.3, -0.2, -0.3, -0.3, -0.3, -0.3, -0.2, -0.1, -0.3, -0.3, -0.2, -0.2, -0.1, -0.3, 0.9, 0.1, -0.2, 0.1, -0.8, -0.1, -0.1, -0.1, 0.2, 0.1, 0.2, -0.7, -0.1, -0.6, 0.1, 0.1, -0.1, 0.1, 0.2, -0.7, 0.1, -0.5, 0.1, -0.1, 0.1, -0.051, -0.062, -0.013, -0.062, -0.156, -0.055, -0.056, -0.062, -0.077, -0.043, -0.059, -0.055, -0.062, -0.061, -0.058, -0.062, -0.062, -0.06, -0.159, -0.052, -0.179, -0.056, -0.062, -0.124, -0.048, 0.134, -0.123, -0.031, -0.089, -0.007, -0.098, -0.057, 0.045, -0.054, 0.004, -0.014, -0.064, -0.023, -0.107, -0.064, -0.025, 0.019, -0.033, -0.027, 0.091, -0.048, -0.063, 0.024, -0.045, -0.029, -0.3, -0.1, -0.6, -0.4, -0.2, -0.5, -0.2, -0.3, -0.3, -0.1, -0.3, -0.2, -0.4, -0.3, -0.5, -0.1, -0.2, -0.1, -0.2, -0.3, -0.4, -0.2, -0.1, -0.4, -0.3, -0.16, -0.07, 0.12, 0.06, -0.03, -0.05, -0.14, -0.09, -0.12, -0.05, -0.06, 0.02, -0.02, 0.04, -0.08, 0.02, -0.05, -0.02, 0.11, -0.08, -0.04, -0.09, -0.02, 0.07, -0.03, 0.0, 0.5, -0.636, -0.82, -0.467, -0.332, -0.51, -0.45, -0.606, -0.387, -0.263, -0.532, -0.548, -0.625, -0.29, -0.308, -0.629, -0.538, -0.473, -0.545, -0.401, -0.541, -0.624, -0.547, -0.345, -0.205, -0.073, -0.091, 0.189, -0.132, -0.056, -0.275, -0.061, -0.095, 0.144, -0.196, -0.159, -0.044, -0.125, 0.117, 0.053, -0.022, 0.079, -0.014, 0.083, -0.048, -0.015, -0.039, -0.042, -0.086, -0.118, 0.269, -0.059, 0.009, 0.009, -0.231, -0.142, -0.142, 0.013, 0.146, -0.048, 0.18, 0.047, -0.026, 0.007, -0.084, -0.083, 0.053, -0.118, -0.082, -0.088, -0.026, -0.11, -0.097, -0.129, 0.093, -0.042, -0.055, 0.123, 0.023, -0.021, -0.009, 0.037, -0.048, -0.031, -0.022, -0.018, -0.008, 0.004, 0.057, 0.075, -0.034, -0.033, -0.033, -0.042, -0.04, -0.005, -0.03, -0.047, 0.024, 0.4389, 0.0765, -0.4375, -0.0106, -0.1053, -0.0106, 0.0, -0.0241, -0.1623, -0.0132, -0.0086, -0.1557, 0.0, -0.0203, -0.0132, 0.0149, 0.0, -0.1698, -0.1411, 0.0795, 0.0795, -0.2357, 0.0, 0.0, 0.0644, -0.092, 0.23, -0.222, -0.079, -0.026, 0.02, -0.093, 0.167, -0.015, 0.096, -0.118, -0.037, -0.035, -0.134]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(len(polaridades))\n"
      ],
      "metadata": {
        "id": "IbfbTIheLwFm",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d43bb852-0d3c-4249-fa22-c51858fd0279"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "588\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dataframe['polaridade'] = polaridades"
      ],
      "metadata": {
        "id": "y3C2DcDKcEUj"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "dataframe"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "7nHYkA02cqgO",
        "outputId": "af1ce873-d0e9-4f3b-9c3b-41b89f507d3f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "            Unnamed: 0                                              title  \\\n",
              "data_index                                                                  \n",
              "03/01/2021           0  Instituição de ensino não pode impedir TCC por...   \n",
              "04/01/2021           1  Número de brasileiros com dívidas cresce no fi...   \n",
              "04/01/2021           2  Crédito aumenta, mas fica mais para o consumid...   \n",
              "05/01/2021           3  Com auxílio emergencial, inadimplência segue e...   \n",
              "05/01/2021           4  Com auxílio emergencial, inadimplência segue e...   \n",
              "...                ...                                                ...   \n",
              "31/05/2023         583  UE vai propor maior transparência para CDS de ...   \n",
              "01/06/2023         584  Bradesco (BBDC4): Itaú BBA \"não concorda\" com ...   \n",
              "01/06/2023         585  PL dos Seguros facilita a inadimplência? Espec...   \n",
              "03/06/2023         586  Biden assina lei que suspende teto da dívida d...   \n",
              "03/06/2023         587  MEIs do Norte registram maiores índices de ina...   \n",
              "\n",
              "                                                  description  \\\n",
              "data_index                                                      \n",
              "03/01/2021  Consultor Jurídico - Notícias, 3/1/2021 - Inst...   \n",
              "04/01/2021  Segundo a Confederação Nacional do Comércio (C...   \n",
              "04/01/2021  Volume de empréstimos e financiamentos cresceu...   \n",
              "05/01/2021  SÃO PAULO, SP (FOLHAPRESS) - A inadimplência d...   \n",
              "05/01/2021  Inadimplência segue em queda em dezembro, diz CNC   \n",
              "...                                                       ...   \n",
              "31/05/2023  Por Huw Jones LONDRES (Reuters) - A Comissão E...   \n",
              "01/06/2023  Banco provavelmente terá que lidar com safras ...   \n",
              "01/06/2023  Texto em discussão no Congresso busca criar no...   \n",
              "03/06/2023  Congresso aprovou legislação na 5ª feira (1º.j...   \n",
              "03/06/2023  Mais de 70% dos microempreendedores individuai...   \n",
              "\n",
              "                                                      content  \\\n",
              "data_index                                                      \n",
              "03/01/2021  Uma instituição de ensino não pode impedir a a...   \n",
              "04/01/2021  MB Marina Barbosa\\n(crédito: Agencia Brasil)\\n...   \n",
              "04/01/2021  MB Marina Barbosa\\n(crédito: Marcello Casal Jr...   \n",
              "05/01/2021  SÃO PAULO, SP (FOLHAPRESS) – A inadimplência d...   \n",
              "05/01/2021  Com auxílio emergencial, inadimplência segue e...   \n",
              "...                                                       ...   \n",
              "31/05/2023  Por Huw Jones\\nLONDRES (Reuters) - A Comissão ...   \n",
              "01/06/2023  O Itaú BBA reiterou sua visão pessimista com a...   \n",
              "01/06/2023  A forma como a inadimplência no pagamento da a...   \n",
              "03/06/2023  Congresso aprovou legislação na 5ª feira (1º.j...   \n",
              "03/06/2023  Mais de 70% dos microempreendedores individuai...   \n",
              "\n",
              "                                                          url  \\\n",
              "data_index                                                      \n",
              "03/01/2021  https://www.conjur.com.br/2021-jan-03/institui...   \n",
              "04/01/2021  https://www.correiobraziliense.com.br/economia...   \n",
              "04/01/2021  https://www.correiobraziliense.com.br/economia...   \n",
              "05/01/2021  https://www.mixvale.com.br/2021/01/05/com-auxi...   \n",
              "05/01/2021  https://www.otempo.com.br/economia/com-auxilio...   \n",
              "...                                                       ...   \n",
              "31/05/2023  https://economia.uol.com.br/noticias/reuters/2...   \n",
              "01/06/2023  https://www.infomoney.com.br/mercados/bradesco...   \n",
              "01/06/2023  https://www.infomoney.com.br/minhas-financas/p...   \n",
              "03/06/2023  https://www.poder360.com.br/internacional/bide...   \n",
              "03/06/2023  https://www.poder360.com.br/poder-empreendedor...   \n",
              "\n",
              "                                                        image  \\\n",
              "data_index                                                      \n",
              "03/01/2021  https://s.conjur.com.br/img/b/livros-livro-est...   \n",
              "04/01/2021  https://midias.correiobraziliense.com.br/_midi...   \n",
              "04/01/2021  https://midias.correiobraziliense.com.br/_midi...   \n",
              "05/01/2021  https://gmzsf29nl4v47muwukfruijc-wpengine.netd...   \n",
              "05/01/2021  https://www.otempo.com.br/image/contentid/poli...   \n",
              "...                                                       ...   \n",
              "31/05/2023  https://conteudo.imguol.com.br/c/_layout/v3/lo...   \n",
              "01/06/2023  https://www.infomoney.com.br/wp-content/upload...   \n",
              "01/06/2023  https://www.infomoney.com.br/wp-content/upload...   \n",
              "03/06/2023  https://static.poder360.com.br/2023/03/joe-bid...   \n",
              "03/06/2023  https://static.poder360.com.br/2023/05/dinheir...   \n",
              "\n",
              "                     publishedAt  \\\n",
              "data_index                         \n",
              "03/01/2021  2021-01-03T18:53:00Z   \n",
              "04/01/2021  2021-01-04T03:00:00Z   \n",
              "04/01/2021  2021-01-04T03:00:00Z   \n",
              "05/01/2021  2021-01-05T22:32:00Z   \n",
              "05/01/2021  2021-01-05T19:52:25Z   \n",
              "...                          ...   \n",
              "31/05/2023  2023-05-31T03:00:00Z   \n",
              "01/06/2023  2023-06-01T18:45:30Z   \n",
              "01/06/2023  2023-06-01T18:01:40Z   \n",
              "03/06/2023  2023-06-03T20:53:16Z   \n",
              "03/06/2023  2023-06-03T17:00:56Z   \n",
              "\n",
              "                                                publishedAt.1  \\\n",
              "data_index                                                      \n",
              "03/01/2021  {'name': 'Consultor Jurídico', 'url': 'https:/...   \n",
              "04/01/2021  {'name': 'Correio Braziliense', 'url': 'https:...   \n",
              "04/01/2021  {'name': 'Correio Braziliense', 'url': 'https:...   \n",
              "05/01/2021  {'name': 'Portal Mix Vale', 'url': 'https://ww...   \n",
              "05/01/2021  {'name': 'O Tempo', 'url': 'https://www.otempo...   \n",
              "...                                                       ...   \n",
              "31/05/2023  {'name': 'UOL', 'url': 'https://economia.uol.c...   \n",
              "01/06/2023  {'name': 'InfoMoney', 'url': 'https://www.info...   \n",
              "01/06/2023  {'name': 'InfoMoney', 'url': 'https://www.info...   \n",
              "03/06/2023  {'name': 'Poder360', 'url': 'https://www.poder...   \n",
              "03/06/2023  {'name': 'Poder360', 'url': 'https://www.poder...   \n",
              "\n",
              "                                data  polaridade  \n",
              "data_index                                        \n",
              "03/01/2021 2021-01-03 18:53:00+00:00      -0.500  \n",
              "04/01/2021 2021-01-04 03:00:00+00:00      -0.400  \n",
              "04/01/2021 2021-01-04 03:00:00+00:00      -0.300  \n",
              "05/01/2021 2021-01-05 22:32:00+00:00      -0.200  \n",
              "05/01/2021 2021-01-05 19:52:25+00:00      -0.400  \n",
              "...                              ...         ...  \n",
              "31/05/2023 2023-05-31 03:00:00+00:00       0.096  \n",
              "01/06/2023 2023-06-01 18:45:30+00:00      -0.118  \n",
              "01/06/2023 2023-06-01 18:01:40+00:00      -0.037  \n",
              "03/06/2023 2023-06-03 20:53:16+00:00      -0.035  \n",
              "03/06/2023 2023-06-03 17:00:56+00:00      -0.134  \n",
              "\n",
              "[588 rows x 10 columns]"
            ],
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              "      <th>Unnamed: 0</th>\n",
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              "      <th>publishedAt.1</th>\n",
              "      <th>data</th>\n",
              "      <th>polaridade</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>data_index</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
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              "      <th>03/01/2021</th>\n",
              "      <td>0</td>\n",
              "      <td>Instituição de ensino não pode impedir TCC por...</td>\n",
              "      <td>Consultor Jurídico - Notícias, 3/1/2021 - Inst...</td>\n",
              "      <td>Uma instituição de ensino não pode impedir a a...</td>\n",
              "      <td>https://www.conjur.com.br/2021-jan-03/institui...</td>\n",
              "      <td>https://s.conjur.com.br/img/b/livros-livro-est...</td>\n",
              "      <td>2021-01-03T18:53:00Z</td>\n",
              "      <td>{'name': 'Consultor Jurídico', 'url': 'https:/...</td>\n",
              "      <td>2021-01-03 18:53:00+00:00</td>\n",
              "      <td>-0.500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>04/01/2021</th>\n",
              "      <td>1</td>\n",
              "      <td>Número de brasileiros com dívidas cresce no fi...</td>\n",
              "      <td>Segundo a Confederação Nacional do Comércio (C...</td>\n",
              "      <td>MB Marina Barbosa\\n(crédito: Agencia Brasil)\\n...</td>\n",
              "      <td>https://www.correiobraziliense.com.br/economia...</td>\n",
              "      <td>https://midias.correiobraziliense.com.br/_midi...</td>\n",
              "      <td>2021-01-04T03:00:00Z</td>\n",
              "      <td>{'name': 'Correio Braziliense', 'url': 'https:...</td>\n",
              "      <td>2021-01-04 03:00:00+00:00</td>\n",
              "      <td>-0.400</td>\n",
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              "    <tr>\n",
              "      <th>04/01/2021</th>\n",
              "      <td>2</td>\n",
              "      <td>Crédito aumenta, mas fica mais para o consumid...</td>\n",
              "      <td>Volume de empréstimos e financiamentos cresceu...</td>\n",
              "      <td>MB Marina Barbosa\\n(crédito: Marcello Casal Jr...</td>\n",
              "      <td>https://www.correiobraziliense.com.br/economia...</td>\n",
              "      <td>https://midias.correiobraziliense.com.br/_midi...</td>\n",
              "      <td>2021-01-04T03:00:00Z</td>\n",
              "      <td>{'name': 'Correio Braziliense', 'url': 'https:...</td>\n",
              "      <td>2021-01-04 03:00:00+00:00</td>\n",
              "      <td>-0.300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>05/01/2021</th>\n",
              "      <td>3</td>\n",
              "      <td>Com auxílio emergencial, inadimplência segue e...</td>\n",
              "      <td>SÃO PAULO, SP (FOLHAPRESS) - A inadimplência d...</td>\n",
              "      <td>SÃO PAULO, SP (FOLHAPRESS) – A inadimplência d...</td>\n",
              "      <td>https://www.mixvale.com.br/2021/01/05/com-auxi...</td>\n",
              "      <td>https://gmzsf29nl4v47muwukfruijc-wpengine.netd...</td>\n",
              "      <td>2021-01-05T22:32:00Z</td>\n",
              "      <td>{'name': 'Portal Mix Vale', 'url': 'https://ww...</td>\n",
              "      <td>2021-01-05 22:32:00+00:00</td>\n",
              "      <td>-0.200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>05/01/2021</th>\n",
              "      <td>4</td>\n",
              "      <td>Com auxílio emergencial, inadimplência segue e...</td>\n",
              "      <td>Inadimplência segue em queda em dezembro, diz CNC</td>\n",
              "      <td>Com auxílio emergencial, inadimplência segue e...</td>\n",
              "      <td>https://www.otempo.com.br/economia/com-auxilio...</td>\n",
              "      <td>https://www.otempo.com.br/image/contentid/poli...</td>\n",
              "      <td>2021-01-05T19:52:25Z</td>\n",
              "      <td>{'name': 'O Tempo', 'url': 'https://www.otempo...</td>\n",
              "      <td>2021-01-05 19:52:25+00:00</td>\n",
              "      <td>-0.400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31/05/2023</th>\n",
              "      <td>583</td>\n",
              "      <td>UE vai propor maior transparência para CDS de ...</td>\n",
              "      <td>Por Huw Jones LONDRES (Reuters) - A Comissão E...</td>\n",
              "      <td>Por Huw Jones\\nLONDRES (Reuters) - A Comissão ...</td>\n",
              "      <td>https://economia.uol.com.br/noticias/reuters/2...</td>\n",
              "      <td>https://conteudo.imguol.com.br/c/_layout/v3/lo...</td>\n",
              "      <td>2023-05-31T03:00:00Z</td>\n",
              "      <td>{'name': 'UOL', 'url': 'https://economia.uol.c...</td>\n",
              "      <td>2023-05-31 03:00:00+00:00</td>\n",
              "      <td>0.096</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>01/06/2023</th>\n",
              "      <td>584</td>\n",
              "      <td>Bradesco (BBDC4): Itaú BBA \"não concorda\" com ...</td>\n",
              "      <td>Banco provavelmente terá que lidar com safras ...</td>\n",
              "      <td>O Itaú BBA reiterou sua visão pessimista com a...</td>\n",
              "      <td>https://www.infomoney.com.br/mercados/bradesco...</td>\n",
              "      <td>https://www.infomoney.com.br/wp-content/upload...</td>\n",
              "      <td>2023-06-01T18:45:30Z</td>\n",
              "      <td>{'name': 'InfoMoney', 'url': 'https://www.info...</td>\n",
              "      <td>2023-06-01 18:45:30+00:00</td>\n",
              "      <td>-0.118</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>01/06/2023</th>\n",
              "      <td>585</td>\n",
              "      <td>PL dos Seguros facilita a inadimplência? Espec...</td>\n",
              "      <td>Texto em discussão no Congresso busca criar no...</td>\n",
              "      <td>A forma como a inadimplência no pagamento da a...</td>\n",
              "      <td>https://www.infomoney.com.br/minhas-financas/p...</td>\n",
              "      <td>https://www.infomoney.com.br/wp-content/upload...</td>\n",
              "      <td>2023-06-01T18:01:40Z</td>\n",
              "      <td>{'name': 'InfoMoney', 'url': 'https://www.info...</td>\n",
              "      <td>2023-06-01 18:01:40+00:00</td>\n",
              "      <td>-0.037</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>03/06/2023</th>\n",
              "      <td>586</td>\n",
              "      <td>Biden assina lei que suspende teto da dívida d...</td>\n",
              "      <td>Congresso aprovou legislação na 5ª feira (1º.j...</td>\n",
              "      <td>Congresso aprovou legislação na 5ª feira (1º.j...</td>\n",
              "      <td>https://www.poder360.com.br/internacional/bide...</td>\n",
              "      <td>https://static.poder360.com.br/2023/03/joe-bid...</td>\n",
              "      <td>2023-06-03T20:53:16Z</td>\n",
              "      <td>{'name': 'Poder360', 'url': 'https://www.poder...</td>\n",
              "      <td>2023-06-03 20:53:16+00:00</td>\n",
              "      <td>-0.035</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>03/06/2023</th>\n",
              "      <td>587</td>\n",
              "      <td>MEIs do Norte registram maiores índices de ina...</td>\n",
              "      <td>Mais de 70% dos microempreendedores individuai...</td>\n",
              "      <td>Mais de 70% dos microempreendedores individuai...</td>\n",
              "      <td>https://www.poder360.com.br/poder-empreendedor...</td>\n",
              "      <td>https://static.poder360.com.br/2023/05/dinheir...</td>\n",
              "      <td>2023-06-03T17:00:56Z</td>\n",
              "      <td>{'name': 'Poder360', 'url': 'https://www.poder...</td>\n",
              "      <td>2023-06-03 17:00:56+00:00</td>\n",
              "      <td>-0.134</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>588 rows × 10 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e1fdd00d-4d5e-4b7d-bc11-714c5f49329e')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-e1fdd00d-4d5e-4b7d-bc11-714c5f49329e button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-e1fdd00d-4d5e-4b7d-bc11-714c5f49329e');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pip install matplotlib"
      ],
      "metadata": {
        "id": "76W3aa1kfc59"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt"
      ],
      "metadata": {
        "id": "0QA6emdbgyR5"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10, 6))\n",
        "plt.plot(dataframe['polaridade'])\n",
        "\n",
        "\n",
        "# Personalização do gráfico (opcional)\n",
        "plt.title(\"Polaridade ao Longo do Tempo\")\n",
        "plt.xlabel(\"Tempo\")\n",
        "plt.ylabel(\"Dados\")\n",
        "\n",
        "# Exibição do gráfico\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "tRahqAe-gGMS",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "outputId": "87be9cd0-4870-498b-f150-868de686e8da"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "fRccMWDchFtr"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Topic Modeling\n",
        "\n"
      ],
      "metadata": {
        "id": "YQd-6wl_fftJ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Load the regular expression library\n",
        "import re\n",
        "\n",
        "# Remove punctuation\n",
        "dataframe['description'] = \\\n",
        "dataframe['description'].map(lambda x: re.sub('[,\\.!?]', '', x))\n",
        "\n",
        "# Convert the titles to lowercase\n",
        "dataframe['description'] = \\\n",
        "dataframe['description'].map(lambda x: x.lower())\n",
        "\n",
        "# Print out the first rows of papers\n",
        "dataframe['description'].head()"
      ],
      "metadata": {
        "id": "jHR6lU50d-_-",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c2dcd69a-63bb-40e1-ed12-89db5b91f1f3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.\n",
            "  and should_run_async(code)\n",
            "<>:6: DeprecationWarning: invalid escape sequence '\\.'\n",
            "<>:6: DeprecationWarning: invalid escape sequence '\\.'\n",
            "<ipython-input-5-99557aa10bf7>:6: DeprecationWarning: invalid escape sequence '\\.'\n",
            "  dataframe['description'].map(lambda x: re.sub('[,\\.!?]', '', x))\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "data_index\n",
              "03/01/2021    consultor jurídico - notícias 3/1/2021 - insti...\n",
              "04/01/2021    segundo a confederação nacional do comércio (c...\n",
              "04/01/2021    volume de empréstimos e financiamentos cresceu...\n",
              "05/01/2021    são paulo sp (folhapress) - a inadimplência do...\n",
              "05/01/2021     inadimplência segue em queda em dezembro diz cnc\n",
              "Name: description, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "IKyC6-LTQnkD"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Import the wordcloud library\n",
        "from wordcloud import WordCloud\n",
        "\n",
        "# Join the different processed titles together.\n",
        "long_string = ','.join(list(dataframe['description'].values))\n",
        "\n",
        "# Create a WordCloud object\n",
        "wordcloud = WordCloud(background_color=\"white\", max_words=10000, contour_width=3, contour_color='steelblue')\n",
        "\n",
        "# Generate a word cloud\n",
        "wordcloud.generate(long_string)\n",
        "\n",
        "# Visualize the word cloud\n",
        "wordcloud.to_image()"
      ],
      "metadata": {
        "id": "iXAzBc-uhL-U",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 308
        },
        "outputId": "42d381b2-2d9b-41b0-ba9b-0273c1730e0a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.\n",
            "  and should_run_async(code)\n",
            "/usr/local/lib/python3.10/dist-packages/wordcloud/wordcloud.py:106: MatplotlibDeprecationWarning: The get_cmap function was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap(obj)`` instead.\n",
            "  self.colormap = plt.cm.get_cmap(colormap)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<PIL.Image.Image image mode=RGB size=400x200 at 0x7F15147F64A0>"
            ],
            "image/png": 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\n"
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "X_CES27JSTd8"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import gensim\n",
        "from gensim.utils import simple_preprocess\n",
        "import nltk\n",
        "nltk.download('stopwords')\n",
        "from nltk.corpus import stopwords\n",
        "\n",
        "stop_words = stopwords.words('portuguese')\n",
        "stop_words.extend(['de', 'para', 'com', 'por', 'que'])\n",
        "\n",
        "def sent_to_words(sentences):\n",
        "    for sentence in sentences:\n",
        "        # deacc=True removes punctuations\n",
        "        yield(gensim.utils.simple_preprocess(str(sentence), deacc=True))\n",
        "\n",
        "def remove_stopwords(texts):\n",
        "    return [[word for word in simple_preprocess(str(doc))\n",
        "             if word not in stop_words] for doc in texts]\n",
        "\n",
        "\n",
        "data = dataframe.description.values.tolist()\n",
        "data_words = list(sent_to_words(data))\n",
        "\n",
        "# remove stop words\n",
        "data_words = remove_stopwords(data_words)\n",
        "\n",
        "print(data_words[:1][0][:30])"
      ],
      "metadata": {
        "id": "Bybjg6InhaV9",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "78b6348f-718e-44c2-a385-351e10d9f2da"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.\n",
            "  and should_run_async(code)\n",
            "/usr/local/lib/python3.10/dist-packages/google/rpc/__init__.py:20: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.rpc')`.\n",
            "Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages\n",
            "  pkg_resources.declare_namespace(__name__)\n",
            "/usr/local/lib/python3.10/dist-packages/pkg_resources/__init__.py:2349: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google')`.\n",
            "Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages\n",
            "  declare_namespace(parent)\n",
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Package stopwords is already up-to-date!\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['consultor', 'juridico', 'noticias', 'instituicao', 'ensino', 'nao', 'pode', 'impedir', 'tcc', 'suposta', 'inadimplencia']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import gensim.corpora as corpora\n",
        "\n",
        "# Create Dictionary\n",
        "id2word = corpora.Dictionary(data_words)\n",
        "\n",
        "# Create Corpus\n",
        "texts = data_words\n",
        "\n",
        "# Term Document Frequency\n",
        "corpus = [id2word.doc2bow(text) for text in texts]\n",
        "\n",
        "# View\n",
        "print(corpus[:1][0][:30])"
      ],
      "metadata": {
        "id": "qFrPpNuNhabs",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1514ee0b-b4df-4da7-832c-5c3a787bfc5f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[(0, 1), (1, 1), (2, 1), (3, 1), (4, 1), (5, 1), (6, 1), (7, 1), (8, 1), (9, 1), (10, 1)]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.\n",
            "  and should_run_async(code)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "PvKad5w6MDNa"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from pprint import pprint\n",
        "\n",
        "# number of topics\n",
        "num_topics = 10\n",
        "\n",
        "# Build LDA model\n",
        "lda_model = gensim.models.LdaMulticore(corpus=corpus,\n",
        "                                       id2word=id2word,\n",
        "                                       num_topics=num_topics)\n",
        "\n",
        "# Print the Keyword in the 10 topics\n",
        "pprint(lda_model.print_topics())\n",
        "doc_lda = lda_model[corpus]"
      ],
      "metadata": {
        "id": "m2esArgAhMBg",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b80fc28b-0610-4298-a78d-0d928dddf228"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.\n",
            "  and should_run_async(code)\n",
            "WARNING:gensim.models.ldamulticore:too few updates, training might not converge; consider increasing the number of passes or iterations to improve accuracy\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[(0,\n",
            "  '0.029*\"inadimplencia\" + 0.015*\"credito\" + 0.010*\"banco\" + 0.009*\"ate\" + '\n",
            "  '0.009*\"segundo\" + 0.009*\"deve\" + 0.007*\"reuters\" + 0.007*\"maior\" + '\n",
            "  '0.006*\"ano\" + 0.006*\"ja\"'),\n",
            " (1,\n",
            "  '0.034*\"inadimplencia\" + 0.013*\"credito\" + 0.009*\"alta\" + 0.008*\"dividas\" + '\n",
            "  '0.007*\"familias\" + 0.007*\"pesquisa\" + 0.007*\"sao\" + 0.006*\"taxa\" + '\n",
            "  '0.006*\"dados\" + 0.006*\"empresas\"'),\n",
            " (2,\n",
            "  '0.043*\"inadimplencia\" + 0.012*\"alta\" + 0.012*\"endividamento\" + '\n",
            "  '0.010*\"consumidor\" + 0.010*\"pesquisa\" + 0.009*\"energia\" + 0.009*\"peic\" + '\n",
            "  '0.008*\"sao\" + 0.008*\"segundo\" + 0.008*\"credito\"'),\n",
            " (3,\n",
            "  '0.033*\"inadimplencia\" + 0.010*\"ate\" + 0.009*\"maior\" + 0.007*\"nao\" + '\n",
            "  '0.006*\"ano\" + 0.006*\"taxa\" + 0.006*\"bilhoes\" + 0.006*\"milhoes\" + '\n",
            "  '0.006*\"cnc\" + 0.005*\"valor\"'),\n",
            " (4,\n",
            "  '0.044*\"inadimplencia\" + 0.014*\"endividamento\" + 0.011*\"credito\" + '\n",
            "  '0.010*\"pesquisa\" + 0.009*\"familias\" + 0.009*\"consumidor\" + 0.007*\"maior\" + '\n",
            "  '0.007*\"alta\" + 0.007*\"energia\" + 0.007*\"dividas\"'),\n",
            " (5,\n",
            "  '0.032*\"inadimplencia\" + 0.010*\"ano\" + 0.009*\"dividas\" + 0.009*\"brasil\" + '\n",
            "  '0.008*\"pais\" + 0.007*\"banco\" + 0.007*\"credito\" + 0.007*\"serasa\" + '\n",
            "  '0.007*\"pessoas\" + 0.006*\"paulo\"'),\n",
            " (6,\n",
            "  '0.033*\"inadimplencia\" + 0.012*\"sao\" + 0.011*\"ano\" + 0.010*\"pais\" + '\n",
            "  '0.009*\"milhoes\" + 0.008*\"credito\" + 0.008*\"paulo\" + 0.008*\"reuters\" + '\n",
            "  '0.008*\"segundo\" + 0.007*\"operacoes\"'),\n",
            " (7,\n",
            "  '0.042*\"inadimplencia\" + 0.009*\"sao\" + 0.007*\"credito\" + 0.007*\"ano\" + '\n",
            "  '0.006*\"paulo\" + 0.006*\"segundo\" + 0.006*\"juridico\" + 0.006*\"consultor\" + '\n",
            "  '0.005*\"indice\" + 0.005*\"reuters\"'),\n",
            " (8,\n",
            "  '0.036*\"inadimplencia\" + 0.008*\"familias\" + 0.008*\"alta\" + 0.007*\"dividas\" + '\n",
            "  '0.007*\"nao\" + 0.007*\"juros\" + 0.006*\"ano\" + 0.006*\"pais\" + 0.006*\"credito\" '\n",
            "  '+ 0.006*\"banco\"'),\n",
            " (9,\n",
            "  '0.038*\"inadimplencia\" + 0.009*\"banco\" + 0.007*\"aumento\" + '\n",
            "  '0.006*\"presidente\" + 0.006*\"mes\" + 0.005*\"taxa\" + 0.005*\"reuters\" + '\n",
            "  '0.005*\"queda\" + 0.005*\"nesta\" + 0.005*\"alta\"')]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#lda_model.print_topics()"
      ],
      "metadata": {
        "id": "1tUDOBPaMCJ6"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pip install pyLDAvis"
      ],
      "metadata": {
        "id": "hhhdbv_pF8xh"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import pyLDAvis.gensim_models as gensimvis\n",
        "import pickle\n",
        "import pyLDAvis\n",
        "import os\n",
        "\n",
        "\n",
        "# Visualize the topics\n",
        "pyLDAvis.enable_notebook()\n",
        "\n",
        "LDAvis_data_filepath = os.path.join('/content/drive/MyDrive/Estudos/Pesquisa - Diversificação de Ações/Long - Short/Algoritmos/News_Code/ldavis_prepared_'+str(num_topics))\n",
        "\n",
        "# # this is a bit time consuming - make the if statement True\n",
        "# # if you want to execute visualization prep yourself\n",
        "if 1 == 1:\n",
        "    LDAvis_prepared = gensimvis.prepare(lda_model, corpus, id2word)\n",
        "    with open(LDAvis_data_filepath, 'wb') as f:\n",
        "        pickle.dump(LDAvis_prepared, f)\n",
        "\n",
        "# load the pre-prepared pyLDAvis data from disk\n",
        "with open(LDAvis_data_filepath, 'rb') as f:\n",
        "    LDAvis_prepared = pickle.load(f)\n",
        "\n",
        "pyLDAvis.save_html(LDAvis_prepared, '/content/drive/MyDrive/Estudos/Pesquisa - Diversificação de Ações/Long - Short/Algoritmos/News_Code/ldavis_prepared_'+ str(num_topics) +'.html')\n",
        "\n",
        "LDAvis_prepared"
      ],
      "metadata": {
        "id": "n3s2TwwihMK6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 916
        },
        "outputId": "bba2ff2c-e917-401e-b27a-3d6eed822e33"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.\n",
            "  and should_run_async(code)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "PreparedData(topic_coordinates=              x         y  topics  cluster       Freq\n",
              "topic                                                \n",
              "2      0.069435 -0.032658       1        1  14.586115\n",
              "8     -0.050754 -0.062975       2        1  13.089761\n",
              "6     -0.088326 -0.026302       3        1  11.572459\n",
              "5     -0.023252 -0.065344       4        1  10.748074\n",
              "7     -0.005373  0.116026       5        1  10.561595\n",
              "4      0.092808  0.010383       6        1   9.242246\n",
              "1      0.025050  0.026546       7        1   8.075446\n",
              "0     -0.020693  0.050122       8        1   8.038089\n",
              "9     -0.067508  0.026853       9        1   7.465749\n",
              "3      0.068614 -0.042651      10        1   6.620467, topic_info=              Term       Freq      Total Category  logprob  loglift\n",
              "559            ate  28.000000  28.000000  Default  30.0000  30.0000\n",
              "85   endividamento  43.000000  43.000000  Default  29.0000  29.0000\n",
              "83      consumidor  30.000000  30.000000  Default  28.0000  28.0000\n",
              "89        pesquisa  34.000000  34.000000  Default  27.0000  27.0000\n",
              "66         energia  22.000000  22.000000  Default  26.0000  26.0000\n",
              "..             ...        ...        ...      ...      ...      ...\n",
              "85   endividamento   2.371014  43.575066  Topic10  -5.4282  -0.1962\n",
              "280           pais   2.294002  37.302992  Topic10  -5.4612  -0.0738\n",
              "427          renda   2.077391  17.859119  Topic10  -5.5604   0.5636\n",
              "133        dividas   2.123065  43.190424  Topic10  -5.5386  -0.2978\n",
              "61          brasil   2.077550  30.072172  Topic10  -5.5603   0.0426\n",
              "\n",
              "[759 rows x 6 columns], token_table=      Topic      Freq      Term\n",
              "term                           \n",
              "1610      1  0.624261       aac\n",
              "214       1  0.122332     abril\n",
              "214       2  0.122332     abril\n",
              "214       3  0.163110     abril\n",
              "214       4  0.203887     abril\n",
              "...     ...       ...       ...\n",
              "1089      5  0.845985       vez\n",
              "1477      2  0.639463     virar\n",
              "531       6  0.634331     visao\n",
              "1514      5  0.636553    vitima\n",
              "965       6  0.634333  voltaram\n",
              "\n",
              "[1655 rows x 3 columns], R=30, lambda_step=0.01, plot_opts={'xlab': 'PC1', 'ylab': 'PC2'}, topic_order=[3, 9, 7, 6, 8, 5, 2, 1, 10, 4])"
            ],
            "text/html": [
              "\n",
              "<link rel=\"stylesheet\" type=\"text/css\" href=\"https://cdn.jsdelivr.net/gh/bmabey/pyLDAvis@3.4.0/pyLDAvis/js/ldavis.v1.0.0.css\">\n",
              "\n",
              "\n",
              "<div id=\"ldavis_el130261397272696975042632524785\" style=\"background-color:white;\"></div>\n",
              "<script type=\"text/javascript\">\n",
              "\n",
              "var ldavis_el130261397272696975042632524785_data = {\"mdsDat\": {\"x\": [0.06943539875183224, -0.050754384669630254, -0.08832588700088129, -0.023252428915966294, -0.005372873063507791, 0.09280818976387897, 0.02504960617782596, -0.020693461272401507, -0.06750845913136415, 0.06861429936021415], \"y\": [-0.032657747437160545, -0.0629754512737293, -0.026301720857378866, -0.06534448749955578, 0.11602560868266566, 0.01038332889626787, 0.026546352908927054, 0.05012155560580512, 0.0268532725543502, -0.04265071158019139], \"topics\": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], \"cluster\": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1], \"Freq\": [14.58611477452885, 13.089760503110767, 11.572458631526834, 10.748073806486829, 10.561595267779161, 9.242246431273344, 8.07544570579131, 8.038089342108595, 7.465749011515377, 6.620466525878935]}, \"tinfo\": {\"Term\": [\"ate\", \"endividamento\", \"consumidor\", \"pesquisa\", \"energia\", \"peic\", \"eletrica\", \"junho\", \"reuters\", \"media\", \"credito\", \"atraso\", \"social\", \"deve\", \"crescimento\", \"inadimplencia\", \"emprestimos\", \"bilhoes\", \"bancos\", \"fevereiro\", \"tarifa\", \"recorde\", \"altos\", \"valor\", \"vale\", \"dados\", \"consultor\", \"juridico\", \"nesta\", \"ratings\", \"aneel\", \"mulher\", \"publico\", \"grave\", \"grande\", \"seis\", \"maceioenses\", \"casos\", \"reuniao\", \"cuja\", \"liderada\", \"incrementarem\", \"bancar\", \"considerados\", \"romani\", \"pan\", \"pratica\", \"investiga\", \"telefone\", \"gradualmente\", \"sinais\", \"atrasa\", \"anual\", \"dez\", \"fere\", \"reais\", \"tres\", \"aac\", \"composicao\", \"previo\", \"participacao\", \"endividadas\", \"perfil\", \"peic\", \"energia\", \"eletrica\", \"consumidor\", \"endividamento\", \"atraso\", \"pesquisa\", \"corte\", \"alta\", \"inadimplencia\", \"poder\", \"ponto\", \"trimestre\", \"itau\", \"primeiro\", \"endividados\", \"unibanco\", \"consumidores\", \"leia\", \"ate\", \"nacional\", \"segundo\", \"sao\", \"pandemia\", \"credito\", \"paulo\", \"dezembro\", \"banco\", \"familias\", \"reuters\", \"milhoes\", \"brasileiros\", \"auxilio\", \"startups\", \"quantidade\", \"spc\", \"mundo\", \"negativo\", \"transformaram\", \"inclui\", \"fulminante\", \"ritmo\", \"praticamente\", \"ocupacionais\", \"virar\", \"operava\", \"lucros\", \"papeis\", \"auto\", \"chegarem\", \"diarios\", \"fornecimento\", \"estatisticos\", \"sofrem\", \"nenhuma\", \"restritivas\", \"ocorre\", \"ligada\", \"poucos\", \"oferece\", \"conjuntura\", \"aprovou\", \"papel\", \"desembolso\", \"combinacao\", \"brasileira\", \"apontam\", \"confira\", \"estavel\", \"global\", \"residencial\", \"financeiro\", \"financeiras\", \"contra\", \"desta\", \"bank\", \"lojas\", \"ficou\", \"crescimento\", \"estado\", \"indica\", \"moram\", \"elaborado\", \"atingiu\", \"juros\", \"inadimplencia\", \"risco\", \"familias\", \"nao\", \"bancos\", \"dividas\", \"deste\", \"alta\", \"pais\", \"trimestre\", \"queda\", \"sobre\", \"auxilio\", \"ano\", \"mes\", \"servicos\", \"analistas\", \"banco\", \"credito\", \"milhoes\", \"aumento\", \"relacao\", \"inadimplentes\", \"acordo\", \"segundo\", \"nacional\", \"maior\", \"endividamento\", \"dinheiro\", \"vencidos\", \"enviados\", \"imobiliarios\", \"comecar\", \"devedoras\", \"ficar\", \"tecnologias\", \"digitais\", \"eurobonus\", \"desencadear\", \"mundial\", \"deverao\", \"projecao\", \"continuar\", \"honrar\", \"concedidas\", \"terremoto\", \"soberano\", \"aproxima\", \"confiantes\", \"terminou\", \"realizado\", \"renegociar\", \"texto\", \"fluxo\", \"evitar\", \"retorno\", \"conversas\", \"ambiente\", \"podera\", \"credores\", \"crescer\", \"estabilidade\", \"operacoes\", \"russia\", \"media\", \"pais\", \"sao\", \"milhoes\", \"inadimplencia\", \"ano\", \"situacao\", \"reuters\", \"pessoas\", \"paulo\", \"dirigentes\", \"chegando\", \"lojistas\", \"relacao\", \"segundo\", \"pagamento\", \"pandemia\", \"credito\", \"passado\", \"inadimplentes\", \"numero\", \"fevereiro\", \"bancos\", \"alta\", \"abril\", \"deve\", \"aumento\", \"banco\", \"caso\", \"taxa\", \"mes\", \"dividas\", \"familias\", \"marca\", \"passa\", \"preco\", \"acabou\", \"bolsonaro\", \"aparelho\", \"considerando\", \"mapa\", \"devendo\", \"diversas\", \"provisionou\", \"macro\", \"administrar\", \"registra\", \"cruzeiro\", \"bba\", \"favoritos\", \"trazer\", \"beneficiarios\", \"ingressaram\", \"doacoes\", \"elaborada\", \"predio\", \"destacaram\", \"permitia\", \"distribuem\", \"arcar\", \"participaram\", \"querem\", \"gerar\", \"final\", \"desafios\", \"terceiro\", \"registros\", \"executivos\", \"novos\", \"total\", \"fechou\", \"brasil\", \"mil\", \"pessoas\", \"mensal\", \"acima\", \"sp\", \"recuo\", \"muitos\", \"serasa\", \"instituto\", \"atrasos\", \"cada\", \"dividas\", \"numero\", \"inadimplencia\", \"ano\", \"dezembro\", \"inadimplentes\", \"pais\", \"abril\", \"acordo\", \"varejo\", \"banco\", \"cartao\", \"servicos\", \"milhoes\", \"paulo\", \"credito\", \"sao\", \"endividamento\", \"maior\", \"segundo\", \"nao\", \"fevereiro\", \"atraso\", \"primeira\", \"rj\", \"alunos\", \"vez\", \"recomendam\", \"artigos\", \"bandeira\", \"pequeno\", \"advogados\", \"boleto\", \"advocacia\", \"negocio\", \"bra\", \"estornadas\", \"matricularam\", \"diversos\", \"reiterou\", \"vitima\", \"enfrenta\", \"fraca\", \"notificada\", \"externas\", \"coreia\", \"estrutural\", \"servidores\", \"encontrada\", \"go\", \"recorrentes\", \"percebeu\", \"contribuem\", \"lazari\", \"administrativo\", \"considera\", \"faturas\", \"ratings\", \"menos\", \"emissores\", \"estrangeira\", \"juridico\", \"consultor\", \"cautela\", \"moeda\", \"especialistas\", \"noticias\", \"atual\", \"longo\", \"emprestimos\", \"inadimplencia\", \"experian\", \"indice\", \"consumo\", \"sao\", \"agua\", \"luz\", \"poder\", \"contas\", \"ano\", \"paulo\", \"credito\", \"pode\", \"reuters\", \"pagamento\", \"atraso\", \"segundo\", \"leia\", \"janeiro\", \"nao\", \"familias\", \"pandemia\", \"banco\", \"cenario\", \"dezembro\", \"serasa\", \"taxa\", \"alta\", \"arend\", \"cortaram\", \"paula\", \"laier\", \"fundamental\", \"proibido\", \"fianca\", \"rotativos\", \"segun\", \"corroeram\", \"lock\", \"ganha\", \"obrigatorias\", \"renegociaram\", \"justifica\", \"divididos\", \"moda\", \"servem\", \"cedidos\", \"envolve\", \"voltaram\", \"expandiram\", \"residenciais\", \"multissacado\", \"visao\", \"feder\", \"multicedente\", \"dtvm\", \"aprova\", \"entrando\", \"previsao\", \"esperam\", \"baixo\", \"altas\", \"resultado\", \"endividamento\", \"fazem\", \"expectativa\", \"eletrica\", \"crescimento\", \"pesquisa\", \"feita\", \"antes\", \"consumidor\", \"inadimplencia\", \"momento\", \"nivel\", \"crise\", \"energia\", \"tarifa\", \"desde\", \"janeiro\", \"social\", \"fevereiro\", \"familias\", \"peic\", \"brasileiros\", \"credito\", \"dados\", \"maior\", \"marco\", \"atraso\", \"aumento\", \"dividas\", \"alta\", \"ate\", \"bancos\", \"sao\", \"nao\", \"contas\", \"ano\", \"segundo\", \"pais\", \"classificacao\", \"aplica\", \"eletrobras\", \"mercados\", \"reafirmou\", \"balancos\", \"operacao\", \"reavaliar\", \"comprometimento\", \"normal\", \"trinidad\", \"descontado\", \"firmados\", \"emergentes\", \"latino\", \"estav\", \"swaps\", \"huw\", \"estima\", \"paec\", \"negativa\", \"propora\", \"transparencia\", \"proprietarios\", \"crime\", \"espelhar\", \"ala\", \"esfera\", \"oas\", \"fraude\", \"idr\", \"diretamente\", \"bb\", \"ajudaram\", \"populacao\", \"ve\", \"divulgada\", \"aumentou\", \"inadimplencia\", \"empresas\", \"credito\", \"dados\", \"estao\", \"emergencial\", \"alta\", \"quase\", \"dividas\", \"taxa\", \"emissor\", \"nota\", \"crescer\", \"pesquisa\", \"inflacao\", \"familias\", \"renegociacao\", \"risco\", \"cartao\", \"sao\", \"consumidor\", \"brasil\", \"queda\", \"mes\", \"nao\", \"endividamento\", \"paulo\", \"cenario\", \"reuters\", \"segundo\", \"brasileiros\", \"janeiro\", \"banco\", \"juros\", \"deve\", \"cpf\", \"atencao\", \"lado\", \"veiculos\", \"verificar\", \"brutal\", \"assegurar\", \"claras\", \"sairem\", \"ruins\", \"jovens\", \"stf\", \"tendencias\", \"investidores\", \"salvou\", \"semrush\", \"duas\", \"perderam\", \"choque\", \"fnde\", \"experiencia\", \"horizontinos\", \"preliminar\", \"alguma\", \"safras\", \"ministros\", \"planejar\", \"refletindo\", \"caiam\", \"tera\", \"instituicoes\", \"evolucao\", \"diferentes\", \"educacao\", \"vendas\", \"termos\", \"modalidade\", \"outro\", \"segunda\", \"acredita\", \"carteira\", \"bc\", \"deve\", \"contudo\", \"criaram\", \"ja\", \"ate\", \"credito\", \"junho\", \"grandes\", \"banco\", \"outros\", \"inadimplencia\", \"recorde\", \"central\", \"relacao\", \"segundo\", \"reuters\", \"periodo\", \"maior\", \"sistema\", \"nesta\", \"ano\", \"dados\", \"consumidores\", \"acordo\", \"paulo\", \"sao\", \"mes\", \"abril\", \"feira\", \"altos\", \"livre\", \"preveem\", \"osasco\", \"qualicorp\", \"determinou\", \"pro\", \"secretarias\", \"conseguido\", \"bolso\", \"contingente\", \"prestado\", \"temporada\", \"planos\", \"observar\", \"anunciar\", \"shopping\", \"jasc\", \"ocorrem\", \"lembra\", \"caro\", \"restabeleca\", \"cautelar\", \"repercussao\", \"endividado\", \"disponivel\", \"tribunais\", \"gang\", \"mateus\", \"fique\", \"sustentar\", \"pouco\", \"presidente\", \"dificuldades\", \"subiu\", \"brasileiro\", \"empresa\", \"economico\", \"unidos\", \"inadimplencia\", \"economia\", \"terca\", \"altos\", \"sob\", \"aumento\", \"estados\", \"meio\", \"banco\", \"inflacao\", \"media\", \"melhora\", \"grupo\", \"resultados\", \"nesta\", \"queda\", \"indices\", \"mes\", \"informou\", \"secretaria\", \"divida\", \"taxa\", \"ainda\", \"emprestimos\", \"reuters\", \"feira\", \"alta\", \"ja\", \"trimestre\", \"credito\", \"juros\", \"endividamento\", \"ano\", \"cortada\", \"feirao\", \"iniciada\", \"importante\", \"participante\", \"estabelecido\", \"destacando\", \"puderam\", \"fronteira\", \"oportunidade\", \"gira\", \"pagas\", \"desaprovam\", \"permanece\", 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