Correlation Analysis between User's Emotional Comments and Popularity Measures
Zechen Wu, Eisuke Ito · 2014
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.