On Sentiment Summarization of Trending Topics on Twitter
Enas Mounir · International Journal for Research in Applied Science and Engineering Technology · 2021
Twitter is the most popular social media and microblogging application with over a hundred million followers, providing much knowledge about everyday life.Every minute, Twitter produces many instant messages (i.e., tweets) containing utilizers' feelings, behaviors, and viewpoints.Organizations are now using the data to gauge international perception or sentiment; This necessitates the utilize of automated summary strategies, which provide a good description of trending topics.These studies analyze the meaning of trending topics on Twitter, the data sets utilized to track them, and the benefits of tracking, analyzing, and summarizing trending topics.They also assess various methodology for sentiment classification, polarity identification, and sentiment summarization techniques.