GitHub / Mouly22 / Sentiment-Analysis_IMDB

This project develops sentiment classification models for IMDB reviews using shallow RNN, unidirectional LSTM, and bidirectional LSTM. It employs GloVe embeddings, evaluates performance with accuracy, precision, recall, and F1 score, and aims to assess the impact of LSTM layers on model effectiveness.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Mouly22%2FSentiment-Analysis_IMDB
PURL: pkg:github/Mouly22/Sentiment-Analysis_IMDB

Topics: blstm-neural-networks, glove-embeddings, lstm-neural-networks, natural-language-processing, python

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