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Product Features Extraction and Categorization in Chinese Reviews

Authors:
Shu Zhang
Wenjie Jia
Yingju Xia
Yao Meng
Hao Yu

Keywords: opinion mining; product features; categorization

Abstract:
With the growing interest in opinion mining from web data, more works are focused on mining in English and Chinese reviews. Product features extraction and categorization are very important for feature level opinion mining. In this paper, we propose a supervised product features extraction method, regard it as an entity recognizing process, and hope to transfer the effective NER techniques to solve this problem. We propose an unsupervised method to group the product features, mine the association of the product features from the intra and inter relationship. With experiments on Chinese reviews, the results show that proposed techniques for product features extraction and categorization are proved effective and promising. The opinion words are very important features both in features extraction and categorization.

Pages: 38 to 42

Copyright: Copyright (c) IARIA, 2011

Publication date: June 19, 2011

Published in: conference

ISSN: 2308-4529

ISBN: 978-1-61208-139-7

Location: Luxembourg City, Luxembourg

Dates: from June 19, 2011 to June 24, 2011