4.7 Article

An empirical study of sentence features for subjectivity and polarity classification

Journal

INFORMATION SCIENCES
Volume 280, Issue -, Pages 275-288

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2014.05.009

Keywords

Sentiment Analysis; Opinion Mining; Sentence-level analysis; Subjectivity classification; Polarity classification

Funding

  1. Ministerio de Economia y Competitividad of the Goverment of Spain [TIN2012-33867]

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While a number of isolated studies have analysed how different sentence features are beneficial in Sentiment Analysis, a complete picture of their effectiveness is still lacking. In this paper we extend and combine the body of empirical evidence regarding sentence subjectivity classification and sentence polarity classification, and provide a comprehensive analysis of the relative importance of each set of features using data from multiple benchmarks. To the best of our knowledge, this is the first study that evaluates a highly diversified set of sentence features for the two main sentiment classification tasks. (C) 2014 Elsevier Inc. All rights reserved.

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