Sentiment Analysis of Twitter Posts on Global Conflicts
This work addresses sentiment analysis for social media users and analysts during conflicts, but it appears incremental as it applies existing methods to new data without clear methodological innovation.
The researchers tackled sentiment analysis of Twitter posts during global conflicts by developing a model and analyzing around 31,000 tweets over several months to assess worldwide human sentiment.
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.