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.

• Periodical: Advanced Materials Research (Volumes 219-220)
• Pages: 1513-1517
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.219-220.1513
• Online since: March 2011
• Authors: Rui Liu, Yi An, Lang Song
• Keywords: Automatic Summarization, Opinion Extraction, Opinion Mining, Opinion Summarization, Sentiment Tendency

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