Document Details

Document Type : Article In Journal 
Document Title :
A Unified Framework for Creating Domain Dependent Polarity Lexicons from User Generated Reviews
إطار عمل موحد لخلق مجال المعاجم التقاطب من تعليقات العضو
 
Subject : Computer Science 
Document Language : English 
Abstract : The exponential increase in the explosion of Web-based user generated reviews has resulted in the emergence of Opinion Mining (OM) applications for analyzing the users’ opinions toward products, services, and policies. The polarity lexicons often play a pivotal role in the OM, indicating the positivity and negativity of a term along with the numeric score. However, the commonly available domain independent lexicons are not an optimal choice for all of the domains within the OM applications. The aforementioned is due to the fact that the polarity of a term changes from one domain to other and such lexicons do not contain the correct polarity of a term for every domain. In this work, we focus on the problem of adapting a domain dependent polarity lexicon from set of labeled user reviews and domain independent lexicon to propose a unified learning framework based on the information theory concepts that can assign the terms with correct polarity (+ive, -ive) scores. The benchmarking on three datasets (car, hotel, and drug reviews) shows that our approach improves the performance of the polarity classification by achieving higher accuracy. Moreover, using the derived domain dependent lexicon changed the polarity of terms, and the experimental results show that our approach is more effective than the base line methods. 
ISSN : 1932-6203 
Journal Name : PLOS ONE 
Volume : 10 
Issue Number : 10 
Publishing Year : 1437 AH
2015 AD 
Article Type : Article 
Added Date : Thursday, February 25, 2016 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
شكيل أحمدAhmad, Shakeel ResearcherDoctoratesarahmad@kau.edu.sa
محمد زبير اسقرAsghar, Muhammad ZubairInvestigatorDoctoratezubair@gu.edu.pk
Aurangzeb KhanKhan, Aurangzeb ResearcherDoctorateaurangzeb.ustb@gmail.com
Imran Ali KhanKhan, Imran AliResearcherDoctorateimran@ciit.net.pk
Fazal Masud KundiKundi, Fazal MasudResearcherDoctoratefmjundi@gmail.com

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