Abstract:
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-T...Show MoreMetadata
Abstract:
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 the text opinion analysis method based on Chinese characters to extract opinioned comments, gets supportive and oppositive circumstances about the blog topic, then combines with the number of reviews, comments and publication time to realize blog hotness evaluation. To validate the performance of BHEM-TOA, the experiment constructs two data corpuses called TOAC and BHEC, and the experimental results demonstrate that BHEM-TOA could more precisely and comprehensively evaluate the hotness of the blog than traditional methods.
Published in: 2009 Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing
Date of Conference: 12-14 December 2009
Date Added to IEEE Xplore: 15 January 2010
ISBN Information: