Abstract
ABSTRACT In recent years, Social Networking Services (SNSs) which people can feel free to express their opinions are getting more and more popular. Since these services have a vast amount of information about various kinds, utilization to business and marketing strategies has a lot of attention. Therefore, there have been a diversity of studies using SNSs (such as the effects of the words of mouth on Twitter for movie sales) and the utility of using SNSs are confirmed. In this study, we aim to evaluate the relationship between topic diffusion by audience on Twitter and audience rating of TV drama. In particular, firstly, we performed the hierarchical cluster analysis by using transitions of number of Tweets to classify weeks for each TV drama episode. Secondly, we extract the text of Tweets which are diffused well and categorized its contents by using natural language processing. Through the results of these analysis, we clarified the relationship between the diffusion phenomenon and audience rating. Keywords Social Networking Service, Twitter, Natural Language Processing, Diffusion Phenomenon
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