Sentiment Analysis of Twitter Posts on Global Conflicts

Ujwal Sasikumar, Ank Zaman, Abdul-Rahman Mawlood-Yunis, Prosenjit Chatterjee
11/21/2023
cs.CLcs.LGcs.SI

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Abstract

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.

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Cite this paper

@article{sasikumar2023sentiment,
  title  = {Sentiment Analysis of Twitter Posts on Global Conflicts},
  author = {Ujwal Sasikumar and Ank Zaman and Abdul-Rahman Mawlood-Yunis and Prosenjit Chatterjee},
  year   = {2023},
  eprint = {2312.03715},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2312.03715v1}
}

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