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This sequential models based approach to predict the sentiment over a movie review using the IMDB movie reviews dataset. The kernel imports the IMDB reviews (originally text - already transformed by Keras to integers using a dictionary).

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jorgeutd/classify-sentiment-on-IMDB-reviews-LSTM-GRU-Bidirectional-GRU

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IMDB-Movie-Reviews-TextClassification

Project Description

This is a Deep Learning based approach to determine whether a movie the review is positive or negative using the IMDB movie review sentiment classification dataset. he kernel imports the IMDB reviews (originally text - already transformed by Keras to integers using a dictionary).

This notebook is part of my deep learning DAAN 570 class, I used a AWS sagemaker instance for GPU runtime training.

Dataset

This is a dataset of 25,000 movies reviews from IMDB, labeled by sentiment (positive/negative). Reviews have been preprocessed, and each review is encoded as a list of word indexes (integers).

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This sequential models based approach to predict the sentiment over a movie review using the IMDB movie reviews dataset. The kernel imports the IMDB reviews (originally text - already transformed by Keras to integers using a dictionary).

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