2012•Computer Knowledge and TechnologyRequires access

Mining Based on the Users’s Content and Microblogging Forwarded

Shaohui Zhong

Open publisher page 0 citations

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.

About this research paper

What this paper is about

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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Method / approach

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Available 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.

Key concepts: Microblogging, Social media, Popularity, Computer science, World Wide Web, User-generated content, Data science, Information retrieval

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