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AI Based Sentiment Analysis for Social Media Platforms

In: Proceedings of the 8th International Conference on Corporate Social Responsibility and Sustainable Development

Author

Listed:
  • Akash Lakhwan

    (Chandigarh University)

  • Yashraj Yadav

    (Chandigarh University)

  • Shammy Samita

    (Chandigarh University)

  • Maneesh Sonkaria

    (Chandigarh University)

  • Anurag Nayak

    (Chandigarh University)

  • Shubham

    (Chandigarh University)

Abstract

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.

Suggested Citation

  • Akash Lakhwan & Yashraj Yadav & Shammy Samita & Maneesh Sonkaria & Anurag Nayak & Shubham, 2026. "AI Based Sentiment Analysis for Social Media Platforms," Springer Proceedings in Business and Economics, in: Vikas Kumar & Tuan Hung Vu & Pooja Nanda & Suddin Lada (ed.), Proceedings of the 8th International Conference on Corporate Social Responsibility and Sustainable Development, pages 689-700, Springer.
    • Handle: RePEc:spr:prbchp:978-981-95-4200-0_41
    DOI: 10.1007/978-981-95-4200-0_41
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