Correlation Analysis between User´s Emotional Comments and Popularity Measures

On user generated contents sites, user\´s comments include the user\´s impression to the content. The authors believe that user\´s comments can be used as the data mining resource to evaluate the contents. In this paper, the authors focus on bilibili.tv, a Chinese video sharing site, and analyze user\´s emotional comments on the site. Toward development of content quality measurement based on emotional comments, they investigate co-relation between emotional comments and popularity measures such as number of replay and bookmark. They pick up the phrase "233", which is a Chinese network jargon which represents lot of laugh, and studied the number of "233" related comments and other popularity measures.