Journal
INFORMATION SCIENCES
Volume 280, Issue -, Pages 275-288Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2014.05.009
Keywords
Sentiment Analysis; Opinion Mining; Sentence-level analysis; Subjectivity classification; Polarity classification
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Funding
- 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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