https://github.com/g-eoj/kaggle-rotten-tomatoes
Movie review sentiment analysis with the Stanford parsed Rotten Tomatoes dataset.
https://github.com/g-eoj/kaggle-rotten-tomatoes
cross-validation nlp nltk rotten-tomatoes scikit-learn
Last synced: 22 days ago
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Movie review sentiment analysis with the Stanford parsed Rotten Tomatoes dataset.
- Host: GitHub
- URL: https://github.com/g-eoj/kaggle-rotten-tomatoes
- Owner: g-eoj
- Created: 2018-09-18T22:25:43.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-09-18T23:01:29.000Z (over 7 years ago)
- Last Synced: 2025-03-15T04:09:23.254Z (about 1 year ago)
- Topics: cross-validation, nlp, nltk, rotten-tomatoes, scikit-learn
- Language: Jupyter Notebook
- Homepage:
- Size: 6.84 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# kaggle Movie Review Sentiment Analysis (Kernels Only)
https://www.kaggle.com/c/movie-review-sentiment-analysis-kernels-only
Movie review sentiment analysis with the Stanford parsed Rotten Tomatoes dataset.
- `cross-validation-considerations.ipynb` compares stratified k-fold and group k-fold, and trains a logistic regression model using tf-idf for features.