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Microblog Sentiment Orientation Detection Using User Interactive Relationship
Joint Authors
Wang, Liang
Guo, Xinying
Qin, Xuebin
Wang, Mei
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-11
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Abstract EN
The development and popularity of microblog have made sentiment analysis of tweets and Weibo an important research field.
However, the characteristics of microblog message pose challenge for the sentiment analysis and mining.
The existing approaches mostly focus on the message content and context information.
In this paper, we propose a novel microblog sentiment analysis framework by incorporating the social interactive relationship factor in the content-based approach.
By exploring the interactive relationship on social network based on posted messages, we build social interactive model to represent the opposition or acceptation behavior.
Based on the interactive relationship model, the sentiment of microblog message with sparse emotion terms can be deduced and identified, and the sentiment uncertainty can be alleviated to some extent.
Afterwards, we transform the classification problem into an optimization problem.
Experimental results on Weibo data set indicate that the proposed method can outperform the baseline methods.
American Psychological Association (APA)
Wang, Liang& Wang, Mei& Guo, Xinying& Qin, Xuebin. 2016. Microblog Sentiment Orientation Detection Using User Interactive Relationship. Journal of Electrical and Computer Engineering،Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1108472
Modern Language Association (MLA)
Wang, Liang…[et al.]. Microblog Sentiment Orientation Detection Using User Interactive Relationship. Journal of Electrical and Computer Engineering No. 2016 (2016), pp.1-6.
https://search.emarefa.net/detail/BIM-1108472
American Medical Association (AMA)
Wang, Liang& Wang, Mei& Guo, Xinying& Qin, Xuebin. Microblog Sentiment Orientation Detection Using User Interactive Relationship. Journal of Electrical and Computer Engineering. 2016. Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1108472
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1108472