Experiments with SVM to classify opinions in different domains

被引：121

作者：

Rushdi Saleh, M. ^{[1
]}

Martin-Valdivia, M. T. ^{[1
]}

Montejo-Raez, A. ^{[1
]}

Urena-Lopez, L. A. ^{[1
]}

机构：

[1] Univ Jaen, Dept Comp Sci, SINAI Res Grp, E-23071 Jaen, Spain

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2011年 / 38卷 / 12期

关键词：

Opinion mining; Machine learning; SVM; Corpora;

D O I：

10.1016/j.eswa.2011.05.070

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Recently, opinion mining is receiving more attention due to the abundance of forums, blogs, e-commerce web sites, news reports and additional web sources where people tend to express their opinions. Opinion mining is the task of identifying whether the opinion expressed in a document is positive or negative about a given topic. In this paper we explore this new research area applying Support Vector Machines (SVM) for testing different domains of data sets and using several weighting schemes. We have accomplished experiments with different features on three corpora. Two of them have already been used in several works. The last one has been built from Amazon.com specifically for this paper in order to prove the feasibility of the SVM for different domains. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：14799 / 14804

页数：6

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