Paper Title :Sentiment Classification Of Movie Reviews Using Hybrid Method
Author :M.Govindarajan
Article Citation :M.Govindarajan ,
(2014 ) " Sentiment Classification Of Movie Reviews Using Hybrid Method " ,
International Journal of Advances in Science, Engineering and Technology(IJASEAT) ,
pp. 73-77,
Volume-1,Issue-3
Abstract : the area of sentiment mining (also called sentiment extraction, opinion mining, opinion extraction, sentiment
analysis, etc.) has seen a large increase in academic interest in the last few years. Researchers inthe areas of natural language
processing, data mining, machine learning, and others have tested a variety of methods of automating the sentiment analysis
process. In this research work, new hybrid classification method is proposed based on coupling classification methods using
arcing classifier and their performances are analyzed in terms of accuracy. A Classifier ensemble was designed using Naive
Bayes (NB), Support Vector Machine (SVM). In the proposed work, a comparative study of the effectiveness of ensemble
technique is made for sentiment classification. The ensemble framework is applied to sentiment classification tasks, with the
aim of efficiently integrating different feature sets and classification algorithms to synthesize a more accurate classification
procedure. The feasibility and the benefits of the proposed approaches are demonstrated by means of movie review that is
widely used in the field of sentiment classification. A wide range of comparative experiments are conducted and finally,
some in-depth discussion is presented and conclusions are drawn about the effectiveness of ensemble technique for
sentiment classification.
Type : Research paper
Published : Volume-1,Issue-3
DOIONLINE NO - IJASEAT-IRAJ-DOIONLINE-338
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Copyright: © Institute of Research and Journals
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Published on 2014-01-22 |
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