Product Evaluation Summarization Through Linguistic Analysis of Product Reviews

KIPS Transactions on Software and Data Engineering, Vol. 17, No. 1, pp. 93-98, Jan. 2010
10.3745/KIPSTB.2010.17.1.93, Full Text:


In this paper, we introduce a system that summarizes product evaluation through linguistic analysis to effectively utilize explosively increasing product reviews. Our system analyzes polarities of product reviews by product features, based on which customers evaluate each product like ‘design’ and ‘material’ for a skirt product category. The system shows to customers a graph as a review summary that represents percentages of positive and negative reviews. We build an opinion word dictionary for each product feature through context based automatic expansion with small seed words, and judge polarity of reviews by product features with the extracted dictionary. In experiment using product reviews from online shopping malls, our system shows average accuracy of 69.8% in extracting judgemental word dictionary and 81.8% in polarity resolution for each sentence.

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Cite this article
[IEEE Style]
W. C. Lee, H. A. Lee and K. J. Lee, "Product Evaluation Summarization Through Linguistic Analysis of Product Reviews," KIPS Journal B (2001 ~ 2012) , vol. 17, no. 1, pp. 93-98, 2010. DOI: 10.3745/KIPSTB.2010.17.1.93.

[ACM Style]
Woo Chul Lee, Hyun Ah Lee, and Kong Joo Lee. 2010. Product Evaluation Summarization Through Linguistic Analysis of Product Reviews. KIPS Journal B (2001 ~ 2012) , 17, 1, (2010), 93-98. DOI: 10.3745/KIPSTB.2010.17.1.93.