Sentiment Prediction Based on Dempster-Shafer Theory of Evidence
Joint Authors
Naghsh-Nilchi, Ahmad Reza
Ghasem-Aghaee, Nasser
Basiri, Mohammad Ehsan
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-27
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-465862