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sentiment-analysis-api

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A powerful Flask API for course review sentiment analysis. It uses a 98.7% accurate Decision Tree ML model to predict positive/negative sentiment, extract keywords using NLP, and provide detailed analytics. Features a live demo frontend and REST API endpoints for easy integration.

  • Updated Aug 31, 2025
  • Jupyter Notebook

Sentiment Analysis evaluates the emotional tone of any text string. It returns an AFINN valence score, a comparative word-normalized score, and a five-tier sentiment label from very negative to very positive.

  • Updated Oct 27, 2026
  • C#

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