Determining the polarity of words through a common online dictionary

Authors:
António Paulo-Santos;Carlos Ramos;Nuno C. Marques
Affiliations:
Knowledge Engineering and Decision Support Group Institute of Engineering, Polytechnic of Porto, Portugal;Knowledge Engineering and Decision Support Group Institute of Engineering, Polytechnic of Porto, Portugal;Departamento de Informática, Faculdade de Ciências, Universidade Nova de Lisboa, Monte da Caparica, Portugal
Venue:
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
Year:
2011

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Abstract

Considerable attention has been given to polarity of words and the creation of large polarity lexicons. Most of the approaches rely on advanced tools like part-of-speech taggers and rich lexical resources such as WordNet. In this paper we show and examine the viability to create a moderate-sized polarity lexicon using only a common online dictionary, five positive and five negative words, a set of highly accurate extraction rules, and a simple yet effective polarity propagation algorithm. The algorithm evaluation results show an accuracy of 84.86% for a lexicon of 3034 words.