Opinion Mining from Online User Reviews Using Fuzzy Linguistic Hedges
المؤلفون المشاركون
Dalal, Mita K.
Zaveri, Mukesh A.
المصدر
Applied Computational Intelligence and Soft Computing
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-02-20
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Nowadays, there are several websites that allow customers to buy and post reviews of purchased products, which results in incremental accumulation of a lot of reviews written in natural language.
Moreover, conversance with E-commerce and social media has raised the level of sophistication of online shoppers and it is common practice for them to compare competing brands of products before making a purchase.
Prevailing factors such as availability of online reviews and raised end-user expectations have motivated the development of opinion mining systems that can automatically classify and summarize users’ reviews.
This paper proposes an opinion mining system that can be used for both binary and fine-grained sentiment classifications of user reviews.
Feature-based sentiment classification is a multistep process that involves preprocessing to remove noise, extraction of features and corresponding descriptors, and tagging their polarity.
The proposed technique extends the feature-based classification approach to incorporate the effect of various linguistic hedges by using fuzzy functions to emulate the effect of modifiers, concentrators, and dilators.
Empirical studies indicate that the proposed system can perform reliable sentiment classification at various levels of granularity with high average accuracy of 89% for binary classification and 86% for fine-grained classification.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Dalal, Mita K.& Zaveri, Mukesh A.. 2014. Opinion Mining from Online User Reviews Using Fuzzy Linguistic Hedges. Applied Computational Intelligence and Soft Computing،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-494553
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Dalal, Mita K.& Zaveri, Mukesh A.. Opinion Mining from Online User Reviews Using Fuzzy Linguistic Hedges. Applied Computational Intelligence and Soft Computing No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-494553
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Dalal, Mita K.& Zaveri, Mukesh A.. Opinion Mining from Online User Reviews Using Fuzzy Linguistic Hedges. Applied Computational Intelligence and Soft Computing. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-494553
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-494553
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