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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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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
score 13.18916

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