Title :
A Solution for Grouping Vietnamese Synonym Feature Words in Product Reviews
Author :
Pham, Huyen-Trang ; Vu, Tien-Thanh ; Tran, Mai-Vu ; Ha, Quang-Thuy
Author_Institution :
KTLab, Colege of Technol. Vietnam Nat. Univ., Hanoi, Vietnam
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.
Keywords :
data mining; natural language processing; SVM-kNN classification; Vietnamese customer; feature based opinion mining; grouping Vietnamese synonym feature words; product reviews; Accuracy; Classification algorithms; Dictionaries; Feature extraction; Semantics; Support vector machines; Training; feature expression; feature expression vectors; feature word/phrase; feature-based opinion mining system; opinion summarization; opinion word; synonym feature expressions grouping;
Conference_Titel :
Services Computing Conference (APSCC), 2011 IEEE Asia-Pacific
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4673-0206-7
DOI :
10.1109/APSCC.2011.48
