A Jupyter Notebook for the Kaggle competition: Classify the sentiment of sentences from the Rotten Tomatoes dataset

Amos Hochman d26c77505c Update README.md 7 months ago
README.md d26c77505c Update README.md 7 months ago
sentiment analysis.ipynb ee3e1a2ea3 Add files via upload 7 months ago

Data Pipeline

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README.md

sentiment-analysis-on-movie-reviews

A Jupyter Notebook for the Kaggle competition: Classify the sentiment of sentences from the Rotten Tomatoes dataset

All the details of the data and the task: https://www.kaggle.com/c/sentiment-analysis-on-movie-reviews

Main tools I used:

  • Trees ensemble models: Random Forest, Ada Boost.
  • Text vectorization: BOW, TF-IDF, Word2vec, BERT.
  • Neural Networks: a sequential model with one fully connected hidden layer.