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Sentiment Analysis of Twitter Posts on Global Conflicts

arXiv 2312.03715 ↗First posted 21 Nov 2023cs.CL cs.LG cs.SIcited by 1

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Abstract (arXiv)

Sentiment analysis of social media data is an emerging field with vast applications in various domains. In this study, we developed a sentiment analysis model to analyze social media sentiment, especially tweets, during global conflicting scenarios. To establish our research experiment, we identified a recent global dispute incident on Twitter and collected around 31,000 filtered Tweets for several months to analyze human sentiment worldwide.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 0 of its 21 references that are in the map. First posted on arXiv 21 Nov 2023.

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