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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...
After a brief analysis to the information spreading mode under internet-based micro-blog platform, it quickly classifies and audits the related mirco-blog content in the spreading process in this paper. Then, by analyzing the sender's mood tendency to some specific topics in the content of micro-blog message, it proposes a content audit model under the micro-blog service platform. Furthermore, by...
This paper focuses on the task of text sentiment analysis in hybrid online articles and web pages. Traditional approaches of text sentiment analysis typically work at a particular level, such as phrase, sentence or document level, which might not be suitable for the documents with too few or too many words. Considering every level analysis has its own advantages, we expect that a combination model...
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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