e-ISSN:0976-5166
p-ISSN:2231-3850


INDIAN JOURNAL OF COMPUTER SCIENCE AND ENGINEERING

Call for Papers

Apr 2019 - Volume 10, Issue 2
Deadline: 5 Apr 2019
Notification: 15 Apr 2019
Publication: 30 Apr 2019

June 2019 - Volume 10, Issue 3
Deadline: 5 June 2019
Notification: 15 June 2019
Publication: 30 June 2019

Indexed in

ABSTRACT

Title : Analysis and evaluation of Feature selectors in opinion mining
Authors : J. ISABELLA, Dr. R.M.SURESH
Keywords : Sentiment analysis, Movie reviews, Feature Selection, Correlation based feature selector (CFS), Information Gain, Support Vector Machine (SVM), Principal component analysis (PCA)
Issue Date : Dec 2012-Jan 2013
Abstract :
Computational performance is improved by use of basic feature selection in most of the research works. Sentiment analysis identifies whether opinion expressed on a topic in a document is positive or negative. But many potential sentiment analysis applications are not feasible because of the voluminous amount of features present in the corpus. This paper evaluates a range of feature selectors systematically with respect to their efficiency in improving the performance of the classifiers for sentiment analysis. Movie reviews are used for sentiment analysis in this study.
Page(s) : 757-762
ISSN : 0976-5166
Source : Vol. 3, No.6