Title :
Blog Hotness Evaluation Model Based on Text Opinion Analysis
Author :
Li, Jianjiang ; Zhang, Xuechun ; Weng, Yu ; Hu, Changjun
Author_Institution :
Dept. of Comput. Sci. & Technol., Univ. of Sci. & Technol., Beijing, China
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.
Keywords :
Web sites; natural language processing; text analysis; BHEM-TOA; Chinese characters; blog hotness evaluation model; data corpuses; text opinion analysis; Classification algorithms; Computer science; Data mining; Discussion forums; Information services; Internet; Labeling; Neural networks; Paper technology; Web sites; blog hotness; hot topic; text opinion analysis;
Conference_Titel :
Dependable, Autonomic and Secure Computing, 2009. DASC '09. Eighth IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3929-4
Electronic_ISBN :
978-1-4244-5421-1
DOI :
10.1109/DASC.2009.82
