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Keras Tokenizer and Sentiment Analysis by chitramyashwanthrao27 is a document available to read on EtoBox.

What is Keras Tokenizer and Sentiment Analysis about?

The document outlines practical exercises in deep learning using Keras and Gensim, focusing on text processing and sentiment analysis. It demonstrates the use of the Keras Tokenizer for converting text to numeric tokens and an LSTM model for sentiment classification on IMDB reviews, achieving ~85% accuracy. Additionally, it covers Word2Vec for learning word embeddings, illustrating how semantic relationships are captured in vector space.

Author

chitramyashwanthrao27

Language

EN