OPINION POLARITY DETECTION Using Word Sense Disambiguation to Determine the Polarity of Opinions

被引：0

作者：

Martin-Wanton, Tamara ^{[1
]}

Pons-Porrata, Aurora ^{[1
]}

Montoyo-Guijarro, Andres ^{[2
]}

Balahur, Alexandra ^{[2
]}

机构：

[1] Univ Oriente, Ctr Pattern Recognit & Data Min, Patricio Lumumba S-N, Santiago De Cuba, Cuba

[2] Univ Alicante, Dept Software & Comp Syst, Alicante, Spain

来源：

ICAART 2010: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 1: ARTIFICIAL INTELLIGENCE | 2010年

关键词：

Opinion Mining; Polarity Detection; Word Sense Disambiguation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we present an unsupervised method for determining the polarity of opinions. It uses a word sense disambiguation algorithm to determine the correct sense of the words in the opinion. The method is also based on SentiWordNet and General Inquirer to determine the polarity of the senses. Due to the characteristics of these external resources, the proposed method does not depend on the knowledge domain and can be extended to other languages. In the evaluation carried out over the SemEval Task No. 14: Affective Text data our method outperforms both unsupervised and supervised systems presented in this task.

引用

页码：483 / 486

页数：4

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