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A solution for grouping Vietnamese synonym feature words in product reviews.

Pham, Huyen-Trang; Vu, Tien-Thanh; Tran, Mai-Vu and Ha, Quang-Thuy (2011). A solution for grouping Vietnamese synonym feature words in product reviews. In: 2011 IEEE Asia-Pacific Services Computing Conference, 12-15 Dec 2011, Jeju, Jeju Island Korea (South), IEEE, pp. 503–508.

URL: http://www.computer.org/csdl/proceedings/apscc/201...
DOI (Digital Object Identifier) Link: https://doi.org/10.1109/APSCC.2011.48
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Abstract

Feature-based opinion mining is an interesting opinion mining issue. For this problem, feature words/phrases are discovered at sentence level. However, customers usually use different words/phrases referring to the same feature in reviews. To produce a meaningful summary, synonym feature words/phrases in domain, need to be grouped under the same feature. This paper proposes a solution for grouping synonym features in Vietnamese customer reviews based on semi-supervised SVM-kNN classification and HAC clustering. Experimental results on reviews in mobile phone domain demonstrate that the proposed method is promising for the task. The Purity, Accuracy measures are 0.68 and 0.65 respectively.

Item Type: Conference or Workshop Item
Copyright Holders: 2011 IEEE
ISBN: 1-4673-0206-6, 978-1-4673-0206-7
Keywords: feature expression; feature expression vectors; feature word/phrase; feature-based opinion mining system; opinion summarization; opinion word; synonym feature expressions grouping
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 40124
Depositing User: Thanh Vu
Date Deposited: 12 May 2014 13:52
Last Modified: 02 May 2018 13:59
URI: http://oro.open.ac.uk/id/eprint/40124
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