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Digikala Comments Analysis with RNN - LSTM

Predicting whether a comment left in Digikala without any idea about the recommendation, is recommending a product or not.

  • The project overview
    • Data Preprocessing
      • Cleaning
      • Converting
      • Checking null
      • Analyzing
      • Normalizing
    • Modeling
      • Tokenizing
      • Vectorizing
      • Creating model
      • Training model
      • Evaluating model

alt text

Example results

model.predict(vectorize_layer(['خیلی بد بود']))
array([[0.23936771]], dtype=float32)

model.predict(vectorize_layer(['افتضاح بود']))
array([[0.04372201]], dtype=float32)

model.predict(vectorize_layer(['عالی بود']))
array([[0.99864143]], dtype=float32)

model.predict(vectorize_layer(['من از این محصول رضایت دارم']))
array([[0.99523926]], dtype=float32)

model.predict(vectorize_layer(['با این قیمت ارزش خرید ندارد']))
array([[0.11104872]], dtype=float32)

model.predict(vectorize_layer(['با این قیمت ارزش خرید دارد']))
array([[0.9712803]], dtype=float32)

License

This project is licensed under the MIT License - see the LICENSE.md file for details

by : Shahab Rahnama