Opinion Mining in Persian Language

Rapid growth of networks and social networks results in more access to people’s opinion. These opinions contain useful information. By analyzing these opinions, people’s preferences and their positive and negative opinions about different subjects can be identified. Opinion mining is the process of...

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Main Authors: Saeedeh Alimardani, Abdollah Aghaie
Format: Article
Language:English
Published: University of Tehran 2015-06-01
Series:Journal of Information Technology Management
Subjects:
Online Access:https://jitm.ut.ac.ir/article_53995_583ee6c5ce356beab8c9fa9d8e2e40e5.pdf
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author Saeedeh Alimardani
Abdollah Aghaie
author_facet Saeedeh Alimardani
Abdollah Aghaie
author_sort Saeedeh Alimardani
collection DOAJ
description Rapid growth of networks and social networks results in more access to people’s opinion. These opinions contain useful information. By analyzing these opinions, people’s preferences and their positive and negative opinions about different subjects can be identified. Opinion mining is the process of analyzing people’s emotions, feelings and opinions to identify their preferences. In this article, a method for opinion mining in Persian language is introduced that is a combination of SVM and lexicon as a set of features. The lexicon is created by using SentiWordNet. To assess the algorithm, data of hotel domain is collected. Four cases were defined and among those cases, the case in which frequency of word multiplies with its orientation got the best result. The proposed method performs better compared to other methods in Persian opinion mining.
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publishDate 2015-06-01
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series Journal of Information Technology Management
spelling doaj-art-9e34c903563942f2a3e2f341a815e3dd2025-08-20T02:20:29ZengUniversity of TehranJournal of Information Technology Management2008-58932423-50592015-06-017234536210.22059/jitm.2015.5399553995Opinion Mining in Persian LanguageSaeedeh Alimardani0Abdollah Aghaie1MSc. student in Information Technology, Faculty of Industrial Engineering, K.N.Toosi University of Technology, IranProf., Faculty of Industrial Engineering, K.N.Toosi University of Technology, IranRapid growth of networks and social networks results in more access to people’s opinion. These opinions contain useful information. By analyzing these opinions, people’s preferences and their positive and negative opinions about different subjects can be identified. Opinion mining is the process of analyzing people’s emotions, feelings and opinions to identify their preferences. In this article, a method for opinion mining in Persian language is introduced that is a combination of SVM and lexicon as a set of features. The lexicon is created by using SentiWordNet. To assess the algorithm, data of hotel domain is collected. Four cases were defined and among those cases, the case in which frequency of word multiplies with its orientation got the best result. The proposed method performs better compared to other methods in Persian opinion mining.https://jitm.ut.ac.ir/article_53995_583ee6c5ce356beab8c9fa9d8e2e40e5.pdfLexiconOpinion miningorientationSupport vector machine
spellingShingle Saeedeh Alimardani
Abdollah Aghaie
Opinion Mining in Persian Language
Journal of Information Technology Management
Lexicon
Opinion mining
orientation
Support vector machine
title Opinion Mining in Persian Language
title_full Opinion Mining in Persian Language
title_fullStr Opinion Mining in Persian Language
title_full_unstemmed Opinion Mining in Persian Language
title_short Opinion Mining in Persian Language
title_sort opinion mining in persian language
topic Lexicon
Opinion mining
orientation
Support vector machine
url https://jitm.ut.ac.ir/article_53995_583ee6c5ce356beab8c9fa9d8e2e40e5.pdf
work_keys_str_mv AT saeedehalimardani opinionmininginpersianlanguage
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