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Sentiment Prediction Based on Dempster-Shafer Theory of Evidence
المؤلفون المشاركون
Naghsh-Nilchi, Ahmad Reza
Ghasem-Aghaee, Nasser
Basiri, Mohammad Ehsan
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-04-27
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
Sentiment prediction techniques are often used to assign numerical scores to free-text format reviews written by people in online review websites.
In order to exploit the fine-grained structural information of textual content, a review may be considered as a collection of sentences, each with its own sentiment orientation and score.
In this manner, a score aggregation method is needed to combine sentence-level scores into an overall review rating.
While recent work has concentrated on designing effective sentence-level prediction methods, there remains the problem of finding efficient algorithms for score aggregation.
In this study, we investigate different aggregation methods, as well as the cases in which they perform poorly.
According to the analysis of existing methods, we propose a new score aggregation method based on the Dempster-Shafer theory of evidence.
In the proposed method, we first detect the polarity of reviews using a machine learning approach and then, consider sentence scores as evidence for the overall review rating.
The results from two public social web datasets show the higher performance of our method in comparison with existing score aggregation methods and state-of-the-art machine learning approaches.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Basiri, Mohammad Ehsan& Naghsh-Nilchi, Ahmad Reza& Ghasem-Aghaee, Nasser. 2014. Sentiment Prediction Based on Dempster-Shafer Theory of Evidence. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-465862
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Basiri, Mohammad Ehsan…[et al.]. Sentiment Prediction Based on Dempster-Shafer Theory of Evidence. Mathematical Problems in Engineering No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-465862
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Basiri, Mohammad Ehsan& Naghsh-Nilchi, Ahmad Reza& Ghasem-Aghaee, Nasser. Sentiment Prediction Based on Dempster-Shafer Theory of Evidence. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-465862
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-465862
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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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
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