Worked with 50000 movie reviews indicated with “positive” or “negative” ratings based on previously labelled reviews from IMDB. To build a classification model that allows us to further classify subsequent reviews as “positive” or “negative”, through identification of the sentiments of the reviews.
Our objective was to build an RNN deep learning classification model able to classify the ratings into the positive or negative class.
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