https://github.com/omurkoc/enhanced-sentiment-analysis
A unique sentiment analysis model on IMDB reviews with custom negation handling. Instead of generic preprocessing, it smartly tags words after negators like "not" (e.g., "not good" → "not_good"), preserving sentiment context. Comparison of models with and without this logic shows improved accuracy and real-world reliability.
https://github.com/omurkoc/enhanced-sentiment-analysis
affective afinn aspect-based-sentiment-analysis aws-athena aws-kinesis cdk createml deep-learning elixir emotion-recognition machine-learning sentiment-analysis textclassification textsentimentanalysis
Last synced: 4 months ago
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A unique sentiment analysis model on IMDB reviews with custom negation handling. Instead of generic preprocessing, it smartly tags words after negators like "not" (e.g., "not good" → "not_good"), preserving sentiment context. Comparison of models with and without this logic shows improved accuracy and real-world reliability.
- Host: GitHub
- URL: https://github.com/omurkoc/enhanced-sentiment-analysis
- Owner: omurkoc
- License: mit
- Created: 2025-05-17T04:25:18.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2025-06-15T04:44:41.000Z (4 months ago)
- Last Synced: 2025-06-15T05:38:38.341Z (4 months ago)
- Topics: affective, afinn, aspect-based-sentiment-analysis, aws-athena, aws-kinesis, cdk, createml, deep-learning, elixir, emotion-recognition, machine-learning, sentiment-analysis, textclassification, textsentimentanalysis
- Language: Python
- Size: 9.77 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE