A Spanish semantic orientation approach to domain adaptation for polarity classification

被引：30
作者：
Dolores Molina-Gonzalez, M. [1 ]
Martinez-Camara, Eugenio [1 ]
Teresa Martin-Valdivia, M. [1 ]
Alfonso Urena-Lopez, L. [1 ]
机构：
[1] Univ Jaen, SINAI Res Grp, E-23071 Jaen, Spain
来源：
INFORMATION PROCESSING & MANAGEMENT | 2015年 / 51卷 / 04期
关键词：
Spanish opinion mining; Sentiment lexicon; Domain adaptation;
D O I：
10.1016/j.ipm.2014.10.002
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
One of the problems of opinion mining is the domain adaptation of the sentiment classifiers. There are several approaches to tackling this problem. One of these is the integration of a list of opinion bearing words for the specific domain. This paper presents the generation of several resources for domain adaptation to polarity detection. On the other hand, the lack of resources in languages different from English has orientated our work towards developing sentiment lexicons for polarity classifiers in Spanish. The results show the validity of the new sentiment lexicons, which can be used as part of a polarity classifier. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码：520 / 531
页数：12
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