Sentiment Analysis of Twitter Posts on Global Conflicts

• URL: http://arxiv.org/abs/2312.03715v1
• Date: Tue, 21 Nov 2023 04:39:47 GMT
• Title: Sentiment Analysis of Twitter Posts on Global Conflicts
• Authors: Ujwal Sasikumar, Ank Zaman, Abdul-Rahman Mawlood-Yunis, Prosenjit Chatterjee
• Abstract summary: We developed a sentiment analysis model to analyze social media sentiment, especially tweets, during global conflicting scenarios. We identified a recent global dispute incident on Twitter and collected around 31,000 filtered Tweets for several months to analyze human sentiment worldwide.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• 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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