Sentiment Analysis of Twitter Posts on Global Conflicts
Ujwal Sasikumar Ank Zaman Abdul-Rahman Mawlood-Yunis Prosenjit Chatterjee
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.