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This paper proposes a blogger reputation evaluation model based on opinion analysis for blogosphere (namedTOAM). This model not only calculates the semantic opinion of blog comment text, but also takes the reputation of blogger into evaluation and retrieves the topic opinion attitudes of internet users with different reputation. Oriented to the different length of blog comment, TOAM adopts two calculation...
Rapid progress of network arouses much attention on Internet public opinion, it is important to grasp the internet public opinion in time and understand the trends of their opinion correctly. Text mining plays a fundamental role in categorization and monitoring of internet public opinion, but internet public opinion is much more difficult than pure-text process because of their semi-structured characteristic...
Aiming at the deficiencies of traditional blog hotness evaluation methods, the paper presents a blog hotness evaluation model based on text opinion analysis (named BHEM-TOA). The model not only considers the number of reviews, comments and publication time of the blog topic, but also focuses on the comment opinion. BHEM-TOA emphasizes subjective opinions of reviewers about the blog topic. It utilizes...
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