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Sentiment Analysis of Twitter Posts on Global Conflicts
Published 21 Nov 2023 in cs.CL, cs.LG, and cs.SI | (2312.03715v1)
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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