Cover Image

A svm-based method for sentiment analysis in Persian language

Persian language is the official language of Iran, Tajikistan and Afghanistan. Local online users often represent their opinions and experiences on the web with written Persian. Although the information in those reviews is valuable to potential consumers and sellers, the huge amount of web reviews m...

Full description

Saved in:
Bibliographic Details
Main Authors: Hajmohammadi, M. S., Ibrahim, R.
Format: Conference or Workshop Item
Published: 2013
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/50871/
http://dx.doi.org/10.1117/12.2010940
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.50871
record_format eprints
spelling my.utm.508712017-09-14T06:57:36Z http://eprints.utm.my/id/eprint/50871/ A svm-based method for sentiment analysis in Persian language Hajmohammadi, M. S. Ibrahim, R. QA75 Electronic computers. Computer science Persian language is the official language of Iran, Tajikistan and Afghanistan. Local online users often represent their opinions and experiences on the web with written Persian. Although the information in those reviews is valuable to potential consumers and sellers, the huge amount of web reviews make it difficult to give an unbiased evaluation to a product. In this paper, standard machine learning techniques SVM and naive Bayes are incorporated into the domain of online Persian Movie reviews to automatically classify user reviews as positive or negative and performance of these two classifiers is compared with each other in this language. The effects of feature presentations on classification performance are discussed. We find that accuracy is influenced by interaction between the classification models and the feature options. The SVM classifier achieves as well as or better accuracy than naive Bayes in Persian movie. Unigrams are proved better features than bigrams and trigrams in capturing Persian sentiment orientation. 2013 Conference or Workshop Item PeerReviewed Hajmohammadi, M. S. and Ibrahim, R. (2013) A svm-based method for sentiment analysis in Persian language. In: Proceedings Of SPIE - The International Society For Optical Engineering. http://dx.doi.org/10.1117/12.2010940
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Hajmohammadi, M. S.
Ibrahim, R.
A svm-based method for sentiment analysis in Persian language
description Persian language is the official language of Iran, Tajikistan and Afghanistan. Local online users often represent their opinions and experiences on the web with written Persian. Although the information in those reviews is valuable to potential consumers and sellers, the huge amount of web reviews make it difficult to give an unbiased evaluation to a product. In this paper, standard machine learning techniques SVM and naive Bayes are incorporated into the domain of online Persian Movie reviews to automatically classify user reviews as positive or negative and performance of these two classifiers is compared with each other in this language. The effects of feature presentations on classification performance are discussed. We find that accuracy is influenced by interaction between the classification models and the feature options. The SVM classifier achieves as well as or better accuracy than naive Bayes in Persian movie. Unigrams are proved better features than bigrams and trigrams in capturing Persian sentiment orientation.
format Conference or Workshop Item
author Hajmohammadi, M. S.
Ibrahim, R.
author_facet Hajmohammadi, M. S.
Ibrahim, R.
author_sort Hajmohammadi, M. S.
title A svm-based method for sentiment analysis in Persian language
title_short A svm-based method for sentiment analysis in Persian language
title_full A svm-based method for sentiment analysis in Persian language
title_fullStr A svm-based method for sentiment analysis in Persian language
title_full_unstemmed A svm-based method for sentiment analysis in Persian language
title_sort svm-based method for sentiment analysis in persian language
publishDate 2013
url http://eprints.utm.my/id/eprint/50871/
http://dx.doi.org/10.1117/12.2010940
_version_ 1643652870469320704
score 13.251813

Similar Items