Fuzzy Aspect Based Opinion Classification System for Mining Tourist Reviews
المؤلفون المشاركون
Afzaal, Muhammad
Usman, Muhammad
Fong, A. C. M.
Zhuang, Yan
Fong, Simon
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-10-31
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Due to the large amount of opinions available on the websites, tourists are often overwhelmed with information and find it extremely difficult to use the available information to make a decision about the tourist places to visit.
A number of opinion mining methods have been proposed in the past to identify and classify an opinion into positive or negative.
Recently, aspect based opinion mining has been introduced which targets the various aspects present in the opinion text.
A number of existing aspect based opinion classification methods are available in the literature but very limited research work has targeted the automatic aspect identification and extraction of implicit, infrequent, and coreferential aspects.
Aspect based classification suffers from the presence of irrelevant sentences in a typical user review.
Such sentences make the data noisy and degrade the classification accuracy of the machine learning algorithms.
This paper presents a fuzzy aspect based opinion classification system which efficiently extracts aspects from user opinions and perform near to accurate classification.
We conducted experiments on real world datasets to evaluate the effectiveness of our proposed system.
Experimental results prove that the proposed system not only is effective in aspect extraction but also improves the classification accuracy.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Afzaal, Muhammad& Usman, Muhammad& Fong, A. C. M.& Fong, Simon& Zhuang, Yan. 2016. Fuzzy Aspect Based Opinion Classification System for Mining Tourist Reviews. Advances in Fuzzy Systems،Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1095070
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Afzaal, Muhammad…[et al.]. Fuzzy Aspect Based Opinion Classification System for Mining Tourist Reviews. Advances in Fuzzy Systems No. 2016 (2016), pp.1-14.
https://search.emarefa.net/detail/BIM-1095070
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Afzaal, Muhammad& Usman, Muhammad& Fong, A. C. M.& Fong, Simon& Zhuang, Yan. Fuzzy Aspect Based Opinion Classification System for Mining Tourist Reviews. Advances in Fuzzy Systems. 2016. Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1095070
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1095070
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر