English

Sentiment Analysis of Twitter Posts on Global Conflicts

Computation and Language 2023-12-08 v1 Machine Learning Social and Information Networks

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.

Keywords

Cite

@article{arxiv.2312.03715,
  title  = {Sentiment Analysis of Twitter Posts on Global Conflicts},
  author = {Ujwal Sasikumar and Ank Zaman and Abdul-Rahman Mawlood-Yunis and Prosenjit Chatterjee},
  journal= {arXiv preprint arXiv:2312.03715},
  year   = {2023}
}

Comments

6 pages

R2 v1 2026-06-28T13:43:08.927Z