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negation

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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.

  • Updated May 15, 2025
  • Python

Program that show user sentiments while giving reviews for different restaurants (Negative or Positive). Positive= 1.0 | >1.0 Negative= -1.0 | < -1.0 In case of positive sentiments, It will give 4 stars for 1.0 and 5 for > 1.0 In case of Negative sentiments, It will give 2 stars for -1.0 and 1 for < -1.0 i.e: -2.0 or less In case of Neutral sent…

  • Updated Mar 27, 2018
  • Python

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