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The Financial markets have been completely transformed by the rise of digital currencies, which has captivated both industry and academia as they investigate the use of Artificial Intelligence (AI) techniques to glean beneficial knowledge from massive online data archives. Social media has developed into a crucial platform for sharing viewpoints and opinions since public perception largely determines market dynamics. Organizations and governments can systematically analyze public sentiment to guide strategic decision-making by utilizing Natural Language Processing (NLP). Non-fungible tokens (NFTs), an unusual but quickly growing financial asset, have attracted a lot of interest lately. Unlike traditional stock markets, NFTs are generally valued by what people think, hope for, feel and the author’s credibility, not by clear numbers or benchmarks.

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AI Based Sentiment Analysis for Social Media Platforms

  • 会议论文

  • 发表日期：

    2026年

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  • Akash Lakhwan,
  • Yashraj Yadav,
  • Shammy Samita,
  • Maneesh Sonkaria,
  • Anurag Nayak,
  • Shubham

摘要

The Financial markets have been completely transformed by the rise of digital currencies, which has captivated both industry and academia as they investigate the use of Artificial Intelligence (AI) techniques to glean beneficial knowledge from massive online data archives. Social media has developed into a crucial platform for sharing viewpoints and opinions since public perception largely determines market dynamics. Organizations and governments can systematically analyze public sentiment to guide strategic decision-making by utilizing Natural Language Processing (NLP). Non-fungible tokens (NFTs), an unusual but quickly growing financial asset, have attracted a lot of interest lately. Unlike traditional stock markets, NFTs are generally valued by what people think, hope for, feel and the author’s credibility, not by clear numbers or benchmarks.