Call for Papers 2024 |
Feb 2024 - Volume 15, Issue 1
Deadline: 15 Jan 2024
Publication: 20 Feb 2024
Apr 2024 - Volume 15, Issue 2
Deadline: 15 Mar 2024
Publication: 20 Apr 2024
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ABSTRACT
Title |
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Analysis and evaluation of Feature selectors in opinion mining |
Authors |
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J. ISABELLA, Dr. R.M.SURESH |
Keywords |
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Sentiment analysis, Movie reviews, Feature Selection, Correlation based feature selector (CFS), Information Gain, Support Vector Machine (SVM), Principal component analysis (PCA) |
Issue Date |
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Dec 2012-Jan 2013 |
Abstract |
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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) |
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757-762 |
ISSN |
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0976-5166 |
Source |
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Vol. 3, No.6 |
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