https://github.com/mgla96/sentimentanalysis
Multinomial Naive Bayes Machine Learning Model For Review Sentiment Analysis
https://github.com/mgla96/sentimentanalysis
Last synced: 3 months ago
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Multinomial Naive Bayes Machine Learning Model For Review Sentiment Analysis
- Host: GitHub
- URL: https://github.com/mgla96/sentimentanalysis
- Owner: Mgla96
- Created: 2020-06-14T06:43:35.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2020-06-14T18:08:03.000Z (about 6 years ago)
- Last Synced: 2025-12-26T10:50:04.067Z (7 months ago)
- Language: Python
- Homepage:
- Size: 12.2 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# SentimentAnalysis
This program determines the sentiment of a review and predicts whether it is a positive or negative review. I implemented a Multinomial Naive Bayes model with Bag-Of-Words and Stop Words. Multinomial Naive Bayes was implemented using log probabilities to eliminate the issue of underflow that results from large amounts of unique words used with Bag-Of-Words for the Naive Bayes model.