https://github.com/katavinanguyen/hybrid_sentiment_analysis_engine_for_ugc
Built to help researchers and marketers extract actionable sentiment insights from noisy, context-heavy online content. A hybrid sentiment analysis engine for UGC, combining LDA topic modeling with Neuro-Symbolic Transformers. Achieves 81% accuracy and outperforms baselines by 14%.
https://github.com/katavinanguyen/hybrid_sentiment_analysis_engine_for_ugc
huggingface lda multi-class-classification neuro-symbolic-ai nlp python sentiment-analysis transformers user-generated-content
Last synced: 11 months ago
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Built to help researchers and marketers extract actionable sentiment insights from noisy, context-heavy online content. A hybrid sentiment analysis engine for UGC, combining LDA topic modeling with Neuro-Symbolic Transformers. Achieves 81% accuracy and outperforms baselines by 14%.
- Host: GitHub
- URL: https://github.com/katavinanguyen/hybrid_sentiment_analysis_engine_for_ugc
- Owner: KatavinaNguyen
- License: mit
- Created: 2025-06-26T13:04:26.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-07-16T02:54:50.000Z (11 months ago)
- Last Synced: 2025-07-17T05:31:48.337Z (11 months ago)
- Topics: huggingface, lda, multi-class-classification, neuro-symbolic-ai, nlp, python, sentiment-analysis, transformers, user-generated-content
- Language: Jupyter Notebook
- Homepage:
- Size: 135 MB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md