Unsupervised Opinion Polarity Detection based on New Lexical Resources

被引：0
|
作者：
Amores, Mario [1 ]
Arco, Leticia [1 ]
Borroto, Claudia [1 ]
机构：
[1] Univ Cent Marta Abreu Las Villas, Dept Comp Sci, Santa Clara, Cuba
来源：
COMPUTACION Y SISTEMAS | 2016年 / 20卷 / 02期
关键词：
Unsupervised polarity detection; lexical resources; opinion mining;
D O I：
10.13053/CyS-20-2-2318
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
There are polarity detection techniques based on the lexicon of opinion words and those based on machine learning techniques. In this paper, we focus on unsupervised polarity detection using lexical resources. We present the SentiWordNet 4.0 and the SpanishSentiWordNet in order to solve the detected drawbacks of previous resources. The integration of the proposed resources is solved by combining them in the PolarityDetection library, which is integrated to PosNeg Opinion 2.0 and facilitates obtaining high accuracy and recall values.
引用
收藏
页码：263 / 277
页数：15
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