Sentiment-Analysis-of-IMDB-Movie-Reviews and movie-review-sentiment-analysis-bilstm

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Stars: 6
Forks: 7
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Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars:
Forks:
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
No Package No Dependents

About Sentiment-Analysis-of-IMDB-Movie-Reviews

Taha533/Sentiment-Analysis-of-IMDB-Movie-Reviews

This project focuses on sentiment analysis of movie reviews using the IMDb dataset. The dataset consists of 50,000 movie reviews labeled as positive or negative. The main goal of this project is to develop models that can accurately classify the sentiment of movie reviews.

About movie-review-sentiment-analysis-bilstm

tahamohmadf19-dev/movie-review-sentiment-analysis-bilstm

Sentiment analysis on IMDB movie reviews using a Bidirectional LSTM neural network. The project applies NLP preprocessing and deep learning with TensorFlow/Keras to classify reviews as positive or negative, achieving 88% accuracy.

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