Opinion mining of movie review using hybrid method of support vector machine and particle swarm optimization

Malaysian Technical Universities Conference on Engineering and Technology (MUCET) 2012 organised by technical universities under the Malaysian Technical Universities Network (MTUN), 20th - 21st November 2012 at Hotel Seri Malaysia, Kangar, Perlis.

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Bibliographic Details
Main Authors:	Abd. Samad Hasan, Basari, Burairah, Hussin, Ananta, I. Gede Pramudya, Junta Zeniarja
Other Authors:	abdsamad@utem.edu.my
Format:	Working Paper
Language:	English
Published:	Malaysian Technical Universities Network (MTUN) 2013
Subjects:	Opinion SVM-PSO Opinion mining Sentiment Sentiment analysis Support Vector Machine (SVM)
Online Access:	http://dspace.unimap.edu.my/xmlui/handle/123456789/30617
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Institution:	Universiti Malaysia Perlis
Language:	English

id	my.unimap-30617
record_format	dspace
spelling	my.unimap-306172013-12-19T11:52:01Z Opinion mining of movie review using hybrid method of support vector machine and particle swarm optimization Abd. Samad Hasan, Basari Burairah, Hussin Ananta, I. Gede Pramudya Junta Zeniarja abdsamad@utem.edu.my burairah@utem.edu.my Opinion SVM-PSO Opinion mining Sentiment Sentiment analysis Support Vector Machine (SVM) Malaysian Technical Universities Conference on Engineering and Technology (MUCET) 2012 organised by technical universities under the Malaysian Technical Universities Network (MTUN), 20th - 21st November 2012 at Hotel Seri Malaysia, Kangar, Perlis. Nowadays, online social media is online discourse where people contribute to create content, share it, bookmark it, and network at an impressive rate. The faster message and ease of use in social media today is Twitter. The messages on Twitter include reviews and opinions on certain topics such as movie, book, product, politic, and so on. Based on this condition, this research attempts to use the messages of twitter to review a movie by using opinion mining or sentiment analysis. Opinion mining refers to the application of natural language processing, computational linguistics, and text mining to identify or classify whether the movie is good or not based on message opinion. Support Vector Machine (SVM) is supervised learning methods that analyze data and recognize the patterns that are used for classification. This research concerns on binary classification which is classified into two classes. Those classes are positive and negative. The positive class shows good message opinion; otherwise the negative class shows the bad message opinion of certain movies. This justification is based on the accuracy level of SVM with the validation process uses 10-Fold cross validation and confusion matrix. The hybrid Partical Swarm Optimization (PSO) is used to improve the election of best parameter in order to solve the dual optimization problem. The result shows the improvement of accuracy level from 71.87% to 77%. 2013-12-19T11:52:01Z 2013-12-19T11:52:01Z 2012-11-20 Working Paper p. 545-552 http://hdl.handle.net/123456789/30617 en Proceeding of the Malaysian Technical Universities Conference on Engineering and Technology (MUCET) 2012; Malaysian Technical Universities Network (MTUN)
institution	Universiti Malaysia Perlis
building	UniMAP Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Perlis
content_source	UniMAP Library Digital Repository
url_provider	http://dspace.unimap.edu.my/
language	English
topic	Opinion SVM-PSO Opinion mining Sentiment Sentiment analysis Support Vector Machine (SVM)
spellingShingle	Opinion SVM-PSO Opinion mining Sentiment Sentiment analysis Support Vector Machine (SVM) Abd. Samad Hasan, Basari Burairah, Hussin Ananta, I. Gede Pramudya Junta Zeniarja Opinion mining of movie review using hybrid method of support vector machine and particle swarm optimization
description	Malaysian Technical Universities Conference on Engineering and Technology (MUCET) 2012 organised by technical universities under the Malaysian Technical Universities Network (MTUN), 20th - 21st November 2012 at Hotel Seri Malaysia, Kangar, Perlis.
author2	abdsamad@utem.edu.my
author_facet	abdsamad@utem.edu.my Abd. Samad Hasan, Basari Burairah, Hussin Ananta, I. Gede Pramudya Junta Zeniarja
format	Working Paper
author	Abd. Samad Hasan, Basari Burairah, Hussin Ananta, I. Gede Pramudya Junta Zeniarja
author_sort	Abd. Samad Hasan, Basari
title	Opinion mining of movie review using hybrid method of support vector machine and particle swarm optimization
title_short	Opinion mining of movie review using hybrid method of support vector machine and particle swarm optimization
title_full	Opinion mining of movie review using hybrid method of support vector machine and particle swarm optimization
title_fullStr	Opinion mining of movie review using hybrid method of support vector machine and particle swarm optimization
title_full_unstemmed	Opinion mining of movie review using hybrid method of support vector machine and particle swarm optimization
title_sort	opinion mining of movie review using hybrid method of support vector machine and particle swarm optimization
publisher	Malaysian Technical Universities Network (MTUN)
publishDate	2013
url	http://dspace.unimap.edu.my/xmlui/handle/123456789/30617
_version_	1643795563189108736

Opinion mining of movie review using hybrid method of support vector machine and particle swarm optimization

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