A study of emotional user comments analysis for bilibili.tv

Abstract

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. They also show co-relation between comments and popularity such as number of replay and bookmark.