Mining Based on the Users’s Content and Microblogging Forwarded
Shaohui Zhong
Abstract
Shaohui Zhong
Abstract
With the growing popularity of microblogging,microblogging site has become a massive body of the release of infor mation,thes study in inmicroblogging need transform from analysising a single customer relationship to mining microblogging users’s content,.this paper presents a new methods of mining microblogging users comments and microblogging forwarded text messages,through minging the level of concern of the user the microblog can recommended valuable information for user.
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With the growing popularity of microblogging,microblogging site has become a massive body of the release of infor mation,thes study in inmicroblogging need transform from analysising a single customer relationship to mining microblogging users’s content,.this paper presents a new methods of mining microblogging users comments and microblogging forwarded text messages,through minging the level of concern of the user the microblog can recommended valuable information for user.
Key concepts: Microblogging, Social media, Popularity, Computer science, World Wide Web, User-generated content, Data science, Information retrieval