A Method of Extracting Opinion from Chinese Product Review

Abstract:

Article Preview

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 et al., "A Method of Extracting Opinion from Chinese Product Review", Advanced Materials Research, Vols. 219-220, pp. 1513-1517, 2011

Online since:

March 2011

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Price:

$35.00

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