Semantic orientation for polarity classification in Spanish reviews

被引：78

作者：

Dolores Molina-Gonzalez, M. ^{[1
]}

Martinez-Camara, Eugenio ^{[1
]}

Martin-Valdivia, Maria-Teresa ^{[1
]}

Perea-Ortega, Jose M. ^{[2
]}

机构：

[1] Univ Jaen, SINAI Res Grp, Jaen 23071, Spain

[2] European Commiss, Joint Res Ctr, IPSC, I-21027 Ispra, VA, Italy

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2013年 / 40卷 / 18期

关键词：

Sentiment polarity detection; Multilingual opinion mining; Spanish resources for sentiment analysis; OPINION;

D O I：

10.1016/j.eswa.2013.06.076

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Until now most of the published methods for polarity classification have been applied to English texts, but other languages are becoming increasingly important. This paper presents a new resource for the Spanish sentiment analysis research community. We have generated a new lexicon by translating into Spanish the Bin Liu English Lexicon. In order to assess the validity of the proposed lexicon a set of experiments on a Spanish review corpus are presented. In addition, the resource presented is compared with another existing Spanish lexicon. The results show that our resource outperforms the currently available Spanish lexicon for sentiment analysis. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：7250 / 7257

页数：8

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