AI Based Sentiment Analysis for Social Media Platforms

Akash Lakhwan (), Yashraj Yadav (), Shammy Samita (), Maneesh Sonkaria (), Anurag Nayak () and Shubham ()
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Akash Lakhwan: Chandigarh University
Yashraj Yadav: Chandigarh University
Shammy Samita: Chandigarh University
Maneesh Sonkaria: Chandigarh University
Anurag Nayak: Chandigarh University
Shubham: Chandigarh University

A chapter in Proceedings of the 8th International Conference on Corporate Social Responsibility and Sustainable Development, 2026, pp 689-700 from Springer

Abstract: 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.

Keywords: Digital currencies; Artificial Intelligence (AI); Natural Language Processing (NLP); Non-Fungible Tokens (NFTs); Financial markets; Public sentiment; Social media; Market analysis; Emotion-based analytics; Pearson Product-Moment Correlation Coefficient (PPMCC) (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1007/978-981-95-4200-0_41

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