A Classification of Adjectives for Polarity Lexicons Enhancement

Vázquez, Silvia; Bel Rafecas, Núria

A Classification of Adjectives for Polarity Lexicons Enhancement

Citation

Vázquez S, Bel N. A Classification of Adjectives for Polarity Lexicons Enhancement. In: Calzolari N, Choukri K, Declerck T (et al.), editors. Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12); 2012 May 23-25; Istanbul, Turkey. Paris: European Language Resources Association; 2012. p. 3557-3561.

Abstract

Subjective language detection is one of the most important challenges in Sentiment Analysis. Because of the weight and frequency in opinionated texts, adjectives are considered a key piece in the opinion extraction process. These subjective units are more and more frequently collected in polarity lexicons in which they appear annotated with their prior polarity. However, at the moment, any polarity lexicon takes into account prior polarity variations across domains. This paper proves that a majority of adjectives change their prior polarity value depending on the domain. We propose a distinction between domain dependent and romain independent adjectives. Moreover, our analysis led us to propose a further classification related to subjectivity degree: constant, mixed and highly subjective adjectives. Following this classification, polarity values will be a better support for Sentiment Analysis.