Referenced Items are not available for this document.
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.
Published in:
Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
(Volume:1
)
Date of Conference: 28-30 Oct. 2009
- Page(s):
- 553 - 557
- Print ISBN:
- 978-0-7695-3881-5
- INSPEC Accession Number:
- 11106470
- Conference Location :
- Qingdao
- Digital Object Identifier :
- 10.1109/WCSE.2009.730
- Product Type:
- Conference Publications
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
