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Course: Natural Language Processing (NLP). Skills and Tools: Keras, RNN, Word embedding, LSTM, Classification. A text classification model that analyses the customer's sentiments based on their reviews in the IMDB database. The model uses a complex deep learning model to build an embedding layer followed by a classification algorithm to analyze …

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mathewsanju/Sentiment-Analysis

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Sentiment Analysis

  • Course: Natural Language Processing (NLP)
  • Skills and Tools: Keras, RNN, Word embedding, LSTM, Classification.
  • Data: imdb from tensorflow.keras.datasets

The objective of this project is to build a text classification model that analyses the customer's sentiments based on their reviews in the IMDB database. The model uses a complex deep learning model to build an embedding layer followed by a classification algorithm to analyze the sentiment of the customers.

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Course: Natural Language Processing (NLP). Skills and Tools: Keras, RNN, Word embedding, LSTM, Classification. A text classification model that analyses the customer's sentiments based on their reviews in the IMDB database. The model uses a complex deep learning model to build an embedding layer followed by a classification algorithm to analyze …

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