Open AccessOPINION POLARITY DETECTION - Using Word Sense Disambiguation to Determine the Polarity of Opinions
Author(s) -
Tamara Martín-Wanton,
Aurora Pons-Porrata
Publication year - 2010
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5220/0002703504830486
Subject(s) - polarity (international relations) , semeval , computer science , task (project management) , word sense disambiguation , artificial intelligence , natural language processing , sentiment analysis , word (group theory) , domain (mathematical analysis) , machine learning , linguistics , mathematics , wordnet , chemistry , biochemistry , philosophy , mathematical analysis , cell , economics , management
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.
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