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Sentiment Analysis Combats Fake News!

  • Sentiment analysis, a branch of Natural Language Processing (NLP), helps identify misinformation and sheds light on public sentiment.
  • The process of sentiment analysis involves data collection, text processing, sentiment scoring, and trend analysis.
  • Sentiment analysis is a powerful tool to detect emotional manipulation, source inconsistencies, and assess credibility.
  • Sentiment analysis is effective in combating fake news by identifying public opinion and detecting patterns.

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