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https://github.com/manoharvit/social-media-sentiment-analysis
Evaluate six deep learning models on the Affects in Tweets Dataset, including CNN, Bidirectional GRU, LSTM, Logistic Regression, Support Vector Classifier, and a voting classifier. Achieve a peak accuracy and an overall good accuracy through thorough model assessment and testing.
https://github.com/manoharvit/social-media-sentiment-analysis
Last synced: about 2 months ago
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Evaluate six deep learning models on the Affects in Tweets Dataset, including CNN, Bidirectional GRU, LSTM, Logistic Regression, Support Vector Classifier, and a voting classifier. Achieve a peak accuracy and an overall good accuracy through thorough model assessment and testing.
- Host: GitHub
- URL: https://github.com/manoharvit/social-media-sentiment-analysis
- Owner: ManoharVit
- License: mpl-2.0
- Created: 2024-07-20T22:46:00.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-07-29T00:28:00.000Z (5 months ago)
- Last Synced: 2024-07-30T02:07:48.708Z (5 months ago)
- Language: Jupyter Notebook
- Size: 178 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE