Paper Title:
A Method of Extracting Opinion from Chinese Product Review
  Abstract

Automatic opinion mining and summarization from online reviews are very useful for customers and merchants. This paper proposes a method to extract opinions from Chinese product reviews. Firstly, reviews are pre-processed and the sentiment features are extracted based on a sentiment lexicon. Then, it finds out the matching target attribute using the extracted sentiment features base on the using co-occurrence knowledge of topic feature and sentiment feature. After the opinions were found, it generates the summary for products according to the most common opinions.

  Info
Periodical
Advanced Materials Research (Volumes 219-220)
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
1513-1517
DOI
10.4028/www.scientific.net/AMR.219-220.1513
Citation
R. Liu, Y. An, L. Song, "A Method of Extracting Opinion from Chinese Product Review", Advanced Materials Research, Vols. 219-220, pp. 1513-1517, 2011
Online since
March 2011
Authors
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Price
$32.00
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