DocumentCode :
3353969
Title :
Research on the Identification of Opinion Topic Expressed in Chinese Network Reviews
Author :
Lin Chen ; Li Bi-Cheng ; Zhou Jie
Author_Institution :
Inf. Process. Dept., Inf. Technol. Inst., Zhengzhou, China
Volume :
1
fYear :
2009
fDate :
28-30 Oct. 2009
Firstpage :
553
Lastpage :
557
Abstract :
Opinion analysis of network reviews provides a channel to find out the viewpoint of the common people in time, and opinion topic identification, as a significant part of opinion analysis, is aimed to identify the objects for the expressed opinions. This paper proposes an opinion topic identification algorithm in independent domain. The algorithm, based on the mode of opinion topic generation in network reviews, employs the process to identify the topics from inner to outer, and the process is finished through four-step procedure: inner topic word identification, inner topic constitution, outer topic identification, and topic organization. Experiment in real network reviews corpus proves that the algorithm can identify opinion topic in network reviews effectively.
Keywords :
natural language processing; Chinese network reviews; inner topic constitution; inner topic word identification; opinion topic generation; opinion topic identification algorithm; outer topic identification; topic organization; Association rules; Automobiles; Computer science; Constitution; Government; Information analysis; Information processing; Information technology; Itemsets; Ontologies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-3881-5
Type :
conf
DOI :
10.1109/WCSE.2009.730
Filename :
5403407
Link To Document :
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