(1) Text Preprocessing.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "# Introduction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Welcome to Module 1 of the Text Mining Track! This module will explore text preprocessing. This is the first step for performing text mining. You might be wondering what the heck is text preprocessing or text mining. This module will help you answer those questions and gain text preprocessing skills. You will do so through a combination of video lectures, interactive notebooks, and hands-on coding exercises. \n",
    "\n",
    "Lets begin!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## How to Run the Module"
   ]
  },
  {
   "attachments": {
    "run_cell.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Throughout this module you will encounter both text and code cells. Please run each cell in this Notebook by clicking \"Run\" button in the Toolbar or by pushing Shift+Enter keys\n",
    "<br>\n",
    "![run_cell.png](attachment:run_cell.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "The cell below is an example of a code cell. You will be running numerous code cells like the one below throughout the case. Select the cell and select the run button above. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-20T11:57:16.504946Z",
     "start_time": "2020-05-20T11:57:16.498961Z"
    },
    "hidden": true
   },
   "outputs": [],
   "source": [
    "# This is an example of a code cell\n",
    "print('Congratulations!')\n",
    "print('You\\'ve run your first code cell.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## Introduction Video"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Please run the code cell below to reveal the introduction video. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-20T11:57:16.915978Z",
     "start_time": "2020-05-20T11:57:16.508936Z"
    },
    "hidden": true
   },
   "outputs": [],
   "source": [
    "# Set Up\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "%matplotlib inline\n",
    "from IPython.display import HTML\n",
    "\n",
    "# Display Video\n",
    "HTML('<iframe width=\"705\" height=\"537\" src=\"https://edpuzzle.com/embed/media/5ec42a899daeb23eef0db888\" frameborder=\"0\" allowfullscreen></iframe>')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "# Special Character & Stopword Removal"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "<font color=blue, size=4>Watch the video and answer the quiz/exercises embedded in the video.<font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-20T11:57:16.924956Z",
     "start_time": "2020-05-20T11:57:16.916975Z"
    },
    "hidden": true
   },
   "outputs": [],
   "source": [
    "HTML('<iframe width=\"705\" height=\"537\" src=\"https://edpuzzle.com/embed/media/5ec42c7edb15be3efbba1879\" frameborder=\"0\" allowfullscreen></iframe>')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## Removing Special Characters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "**Functions you will use for removing special characters**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Run the below code cell to create the <code>remove_special_characters</code> function. This function will allow you to remove special characters from a text."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-20T11:57:16.938919Z",
     "start_time": "2020-05-20T11:57:16.928944Z"
    },
    "hidden": true
   },
   "outputs": [],
   "source": [
    "import re # import \"re\" function\n",
    "\n",
    "def remove_special_characters(text, remove_digits=False):\n",
    "    '''\n",
    "    A caret located in a bracket means ‘not.’ \n",
    "    If remove_digits parameter is True, \"^a-zA-Z0-9\\s\" matches any characters other than \n",
    "    alphabets ([a-zA-Z]) or digits ([0-9]), followed by a white space ([\\s]).\n",
    "    If 'remove_digits' parameter is False, the the function will remove numbers as well. \n",
    "    '''\n",
    "    pattern = r'[^a-zA-Z0-9\\s]' if not remove_digits else r'[^a-zA-z\\s]'\n",
    "    text = re.sub(pattern, '', text)\n",
    "    return text\n",
    "\n",
    "print(\"Function created!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "**Sample executions of the function \"remove_special_characters\"**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "The below example demonstrates two different executions of the <code>remove_special_characters</code> function for the following text.\n",
    "> \"Well this was fun! What do you think? 123#@\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-20T11:57:16.954874Z",
     "start_time": "2020-05-20T11:57:16.942907Z"
    },
    "hidden": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "remove_special_characters(\"Well this was fun! What do you think? 123#@\", \n",
    "                          remove_digits=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-20T11:57:16.967840Z",
     "start_time": "2020-05-20T11:57:16.956869Z"
    },
    "hidden": true
   },
   "outputs": [],
   "source": [
    "remove_special_characters(\"Well this was fun! What do you think? 123#@\", \n",
    "                          remove_digits=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## Removing Stopwords"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "**Functions you will use for removing stopwords**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Run the code cell to import packages needed to remove stopwords. Packages are an outside group of code and functions we can import to perform additional functions. In this case, we will be importing a package which will allow us to remove stopwords. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-20T11:57:18.614945Z",
     "start_time": "2020-05-20T11:57:16.969835Z"
    },
    "hidden": true
   },
   "outputs": [],
   "source": [
    "import nltk # import nltk library\n",
    "\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.tokenize.toktok import ToktokTokenizer\n",
    "\n",
    "nltk.download('stopwords')\n",
    "\n",
    "print(\"Packages imported!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "The code cell below will display a list of stopwords we will be removing from out text. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-20T11:57:18.628905Z",
     "start_time": "2020-05-20T11:57:18.617934Z"
    },
    "hidden": true
   },
   "outputs": [],
   "source": [
    "print(stopwords.words('english'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "The below code cell will create the <code>remove_stopwords</code> function. This function will allow you to remove stopwords from a text."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-20T11:57:18.647862Z",
     "start_time": "2020-05-20T11:57:18.630899Z"
    },
    "hidden": true
   },
   "outputs": [],
   "source": [
    "tokenizer = ToktokTokenizer()\n",
    "stopword_list = nltk.corpus.stopwords.words('english')\n",
    "stopword_list.remove('no') # we will not remove 'no' from texts\n",
    "stopword_list.remove('not') # we will not reomve 'not' from texts\n",
    "\n",
    "def remove_stopwords(text, is_lower_case=False):\n",
    "    # First, tokenize the text\n",
    "    tokens = tokenizer.tokenize(text)\n",
    "    # remove whitespaces in each token\n",
    "    tokens = [token.strip() for token in tokens]\n",
    "    # if \"is_lower_case\" parameter is True, \n",
    "    # we will not remove stopwords that have any upper case letter\n",
    "    if is_lower_case: \n",
    "        filtered_tokens = [token for token in tokens if token not in stopword_list]\n",
    "    # If \"is_lower_case\" parameter is False, \n",
    "    # we will remove any stopwords no matter whether they are in uppercase or not\n",
    "    else:\n",
    "        filtered_tokens = [token for token in tokens if token.lower() not in stopword_list]\n",
    "    filtered_text = ' '.join(filtered_tokens)    \n",
    "    return filtered_text\n",
    "\n",
    "print(\"Function created!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "**Sample execution of the function \"remove_stopwords\"**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "The below example demonstrates two different executions of the <code>remove_stopwords</code> function for the following text.\n",
    "> \"The, and, if are StopWords, computer is not\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-20T11:57:18.661826Z",
     "start_time": "2020-05-20T11:57:18.650845Z"
    },
    "hidden": true
   },
   "outputs": [],
   "source": [
    "remove_stopwords(\"The, and, if are StopWords, computer is not\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-20T11:57:18.678772Z",
     "start_time": "2020-05-20T11:57:18.665807Z"
    },
    "hidden": true
   },
   "outputs": [],
   "source": [
    "remove_stopwords(\"The, and, if are StopWords, computer is not\", is_lower_case=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## Exercise (Stopword Removal)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "**Warning**  \n",
    "<font color = blue, size = 4> \n",
    "    Your work will not be saved in Jupyter Notebook. You are recommended to copy your work and paste it to a safe place to record your work.\n",
    "<font>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Consider the below product reviews:  \n",
    "  \n",
    "1. The product is really very good. – POSITIVE  \n",
    "2. The product seems to be good. – POSITIVE  \n",
    "3. Good product. I really liked it. – POSITIVE  \n",
    "4. The product is not good. – NEGATIVE  \n",
    "5. I didn’t like the product. – NEGATIVE  \n",
    "\n",
    "Each numbered review has the review text on the left and the label on the right. A product review will be labeled either 'POSITIVE' or 'NEGATIVE'.\n",
    "\n",
    "Remove stopwords in each review using the code provided earlier in the module. Then, observe what happens to the review comments. Finally, critically argue whether stopwords removal improves model performance in any context. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "**Write your code below and push the \"Run\" button in the tool bar of the Jupyter Notebook to see the result**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "hidden": true,
    "solution2": "hidden",
    "solution2_first": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true,
    "solution2": "hidden"
   },
   "source": [
    "**Suggested Answer**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-20T11:57:18.701709Z",
     "start_time": "2020-05-20T11:57:18.681763Z"
    },
    "hidden": true,
    "slideshow": {
     "slide_type": "-"
    },
    "solution2": "hidden"
   },
   "outputs": [],
   "source": [
    "# \"Show Solution\" Toggle\n",
    "rm1 = remove_stopwords (\"The product is really very good.\")\n",
    "rm2 = remove_stopwords (\"The product seems to be good.\")\n",
    "rm3 = remove_stopwords (\"Good product. I really liked it.\")\n",
    "rm4 = remove_stopwords (\"The product is not good.\")\n",
    "rm5 = remove_stopwords (\"I didn’t like the product.\")\n",
    "\n",
    "print(rm1)\n",
    "print(rm2)\n",
    "print(rm3)\n",
    "print(rm4)\n",
    "print(rm5)\n",
    "\n",
    "'''\n",
    "The meaning of Review 5 is changed after removing stop words. This is because the\n",
    "NLTK's stopword list contains contractions of negative expressions like 'didn't,\" \n",
    "\"doesn't,\" \"hadn't,\" etc.\n",
    "Removing stop words, especially when it comes to negative contractions like 'didn't,' \n",
    "can change the meaning of an original text. We should remove stop words with care.\n",
    "'''"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "# Stemming & Lemmatization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "<font color=blue, size=4>Watch the video and answer the quiz/exercises embedded in the video.<font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-20T11:57:18.715672Z",
     "start_time": "2020-05-20T11:57:18.704702Z"
    },
    "hidden": true
   },
   "outputs": [],
   "source": [
    "# Want to hide this input cell\n",
    "HTML('<iframe width=\"705\" height=\"537\" src=\"https://edpuzzle.com/embed/media/5ec0aeb22f4e7c3f03a29d60\" frameborder=\"0\" allowfullscreen></iframe>')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## Stemming"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "**Functions you will use for stemming**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Run the below code cell to create the <code>simple_stemmer</code> function. This function will allow you to stem words in a text."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-20T11:57:18.730635Z",
     "start_time": "2020-05-20T11:57:18.719662Z"
    },
    "hidden": true
   },
   "outputs": [],
   "source": [
    "def simple_stemmer(text):\n",
    "    ps = nltk.porter.PorterStemmer()\n",
    "    # split the text into individual word and return a list of words\n",
    "    # the 'ps' function stems each word, and .join() function joins the stemmed words with whitespace.\n",
    "    text = ' '.join([ps.stem(word) for word in text.split()]) \n",
    "    return text\n",
    "\n",
    "print(\"Function created!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "**Sample execution of the function \"simple_stemmer\"**\n",
    "\n",
    "The below example demonstrates a sample execution of the function <code>simple_stemmer</code> function for the following text.\n",
    "> \"My system keeps crashing his crashed yesterday, ours crashes daily\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-20T11:57:18.752573Z",
     "start_time": "2020-05-20T11:57:18.735619Z"
    },
    "hidden": true
   },
   "outputs": [],
   "source": [
    "simple_stemmer(\"My system keeps crashing his crashed yesterday, ours crashes daily\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## Lemmatization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "**Functions you will use for lemmatization**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Run the below code cell to create the <code>lemmatize_text</code> function. This function will allow you to lemmatize words in a text."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-20T11:57:18.896189Z",
     "start_time": "2020-05-20T11:57:18.757560Z"
    },
    "hidden": true
   },
   "outputs": [],
   "source": [
    "from nltk.stem import WordNetLemmatizer \n",
    "nltk.download('punkt')\n",
    "nltk.download('wordnet')\n",
    "\n",
    "wordnet_lemmatizer = WordNetLemmatizer()\n",
    "\n",
    "def lemmatize_text(text):\n",
    "    s = \" \" # create an empty string that later will contain lemmatized words,\n",
    "    t_l = [] # create an empty list\n",
    "    t_w = nltk.word_tokenize(text) # tokenize the text\n",
    "    # assign the list of tokenized words into t_w.\n",
    "    for w in t_w:\n",
    "        # “pos” is a part of speech parameter and “v” means verbs. \n",
    "        # We will lemmatize verbs only. \n",
    "        l_w = wordnet_lemmatizer.lemmatize(w, pos=\"v\")\n",
    "        # append l_w into the list t_l\n",
    "        t_l.append(l_w)\n",
    "    # joint the tokens to make a complete sentence\n",
    "    text = s.join(t_l)\n",
    "    return text\n",
    "\n",
    "print(\"Function created!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Sample execution of the function \"lemmatize_text\"\n",
    "\n",
    "The below example demonstrates a sample execution of the function <code>lemmatize_text</code> function for the following text.\n",
    "> \"My system keeps crashing! his was crashed yesterday, ours crashes daily\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-20T11:57:21.706826Z",
     "start_time": "2020-05-20T11:57:18.900183Z"
    },
    "hidden": true
   },
   "outputs": [],
   "source": [
    "lemmatize_text(\"My system keeps crashing! his was crashed yesterday, ours crashes daily\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## Exercise  (Text Preprocessing)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "**Warning**  \n",
    "<font color = blue, size = 4> \n",
    "    Your work will not be saved in Jupyter Notebook. You are recommended to copy your work and paste it to a safe place to record your work.\n",
    "<font>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Using the code provided in Jupyter Notebook, 1) remove special characters (including numbers) and stopwords, and 2) lemmatize the following paragraph. \n",
    "  \n",
    "“We measured the serum lipid profile, together with plasma fibrinogen and serum lipoprotein(a) (Lp[a]), glucose, bilirubin, and albumin levels in 491 patients (310 men) who were referred for the management of primary dyslipidemia. All these variables have been shown to predict vascular events. The patients were not taking lipid-lowering drugs; hypertension was present in 156 (31.7%) of them. Of the hypertensive patients, 52 (33%) were not receiving any treatment to control their blood pressure. Lipid-hostile antihypertensive drugs were associated with a significantly higher fibrinogen concentration when compared with untreated hypertensives or those taking lipid-neutral/lipid-friendly drugs (median values: 383, 353, and 336 mg/dL, respectively; P < .01). Lipid-neutral/lipid-friendly antihypertensive drugs were associated with lower Lp(a) levels when compared with untreated hypertensives (median values: 22 and 45 mg/dL, respectively; P < .05). The serum bilirubin level was significantly lower in the untreated hypertensives when compared with normotensives or the treated hypertensives. There were no significant differences in lipids, glucose, or albumin among the groups of hypertensives or normotensives. The influence of antihypertensive drugs on additional cardiovascular risk factors should be considered when selecting medication to reduce blood pressure.”\n",
    "\n",
    "*Hint*: create interim objects to store the preprocessed text on the way to a final product.  \n",
    "  \n",
    "*Example*:  \n",
    "  \n",
    "rm_sc = remove_special_characters(\"blablabla...\")   \n",
    "rm_sw = remove_stopwords(rm_sc)  \n",
    "...\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "**Write your code below and push the \"Run\" button in the tool bar of the Jupyter Notebook to see the result.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "hidden": true,
    "solution2": "hidden",
    "solution2_first": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true,
    "solution2": "hidden"
   },
   "source": [
    "**Suggested Answer**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-20T11:57:21.719783Z",
     "start_time": "2020-05-20T11:57:21.709811Z"
    },
    "hidden": true,
    "solution2": "hidden"
   },
   "outputs": [],
   "source": [
    "# \"Show Solution\" Toggle\n",
    "text = \"We measured the serum lipid profile, together with plasma fibrinogen and serum lipoprotein(a) (Lp[a]), glucose, bilirubin, and albumin levels in 491 patients (310 men) who were referred for the management of primary dyslipidemia. All these variables have been shown to predict vascular events. The patients were not taking lipid-lowering drugs; hypertension was present in 156 (31.7%) of them. Of the hypertensive patients, 52 (33%) were not receiving any treatment to control their blood pressure. Lipid-hostile antihypertensive drugs were associated with a significantly higher fibrinogen concentration when compared with untreated hypertensives or those taking lipid-neutral/lipid-friendly drugs (median values: 383, 353, and 336 mg/dL, respectively; P < .01). Lipid-neutral/lipid-friendly antihypertensive drugs were associated with lower Lp(a) levels when compared with untreated hypertensives (median values: 22 and 45 mg/dL, respectively; P < .05). The serum bilirubin level was significantly lower in the untreated hypertensives when compared with normotensives or the treated hypertensives. There were no significant differences in lipids, glucose, or albumin among the groups of hypertensives or normotensives. The influence of antihypertensive drugs on additional cardiovascular risk factors should be considered when selecting medication to reduce blood pressure.\"\n",
    "rm_sc = remove_special_characters(text)\n",
    "rm_sw = remove_stopwords(rm_sc)\n",
    "final_text = lemmatize_text(rm_sw)\n",
    "\n",
    "print(final_text)"
   ]
  }
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