Autor:	Sasikumar, Ujwal, Zaman, Ank, Mawlood-Yunis, Abdul-Rahman, Chatterjee, Prosenjit
Rok vydání:	2023
Předmět:	Computer Science - Computation and Language Computer Science - Machine Learning Computer Science - Social and Information Networks
Druh dokumentu:	Working Paper
Popis:	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. Comment: 6 pages
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2312.03715 Zobrazit plný text záznamu View this record from Arxiv