login

An empirical study of sentence features for subjectivity and polarity classification

Information SciencesPublished 16 May 2014
José M. Chenlo, David E. Losada
Citations85
SJR quartileQ1
SJR score1.80
SNIP1.98

TL;DR

This paper extends and combines the body of empirical evidence regarding sentence subjectivity classification and sentence polarity classification, and provides a comprehensive analysis of the relative importance of each set of features using data from multiple benchmarks.

Abstract

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.

Keywords

Computer Science