Abstract
n this study, we treat TV dramas and analyze how these TV dramas become hot topics. Analyzing data is Twitter data, then we focus on burst phenomenon which is increases the number of tweet and retweet rapidly. The objective TV dramas were broadcast each week in three-month run of a television series. We could observe tweet and retweet data even while not broadcast time, moreover we obtained some bursts phenomena by analyzing. Furthermore, we pick up some frequent appeared term from the contents of tweet using natural language processing, then we analyze the relationship between burst and terms. Through these analyses, we can solve the burst phenomena in market and expect to understand the evaluation of TV program
https://ror.org/03qvqb743 
