تفاصيل الوثيقة
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نوع الوثيقة |
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مقال في مجلة دورية |
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عنوان الوثيقة |
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إطار عمل موحد لخلق مجال المعاجم التقاطب من تعليقات العضو A Unified Framework for Creating Domain Dependent Polarity Lexicons from User Generated Reviews |
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الموضوع |
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علوم حاسبات |
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لغة الوثيقة |
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الانجليزية |
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المستخلص |
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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. |
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ردمد |
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1932-6203 |
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اسم الدورية |
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PLOS ONE |
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المجلد |
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10 |
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العدد |
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10 |
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سنة النشر |
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1437 هـ
2015 م |
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نوع المقالة |
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مقالة علمية |
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تاريخ الاضافة على الموقع |
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Thursday, February 25, 2016 |
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الباحثون
| شكيل أحمد | Ahmad, Shakeel | باحث مشارك | دكتوراه | sarahmad@kau.edu.sa |
| محمد زبير اسقر | Asghar, Muhammad Zubair | باحث رئيسي | دكتوراه | zubair@gu.edu.pk |
| Aurangzeb Khan | Khan, Aurangzeb | باحث مشارك | دكتوراه | aurangzeb.ustb@gmail.com |
| Imran Ali Khan | Khan, Imran Ali | باحث مشارك | دكتوراه | imran@ciit.net.pk |
| Fazal Masud Kundi | Kundi, Fazal Masud | باحث مشارك | دكتوراه | fmjundi@gmail.com |
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