A Multilayer Naïve Bayes Model for Analyzing User’s Retweeting Sentiment Tendency
Joint Authors
Zuo, Wanli
Wang, Mengmeng
Wang, Ying
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-31
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Today microblogging has increasingly become a means of information diffusion via user’s retweeting behavior.
Since retweeting content, as context information of microblogging, is an understanding of microblogging, hence, user’s retweeting sentiment tendency analysis has gradually become a hot research topic.
Targeted at online microblogging, a dynamic social network, we investigate how to exploit dynamic retweeting sentiment features in retweeting sentiment tendency analysis.
On the basis of time series of user’s network structure information and published text information, we first model dynamic retweeting sentiment features.
Then we build Naïve Bayes models from profile-, relationship-, and emotion-based dimensions, respectively.
Finally, we build a multilayer Naïve Bayes model based on multidimensional Naïve Bayes models to analyze user’s retweeting sentiment tendency towards a microblog.
Experiments on real-world dataset demonstrate the effectiveness of the proposed framework.
Further experiments are conducted to understand the importance of dynamic retweeting sentiment features and temporal information in retweeting sentiment tendency analysis.
What is more, we provide a new train of thought for retweeting sentiment tendency analysis in dynamic social networks.
American Psychological Association (APA)
Wang, Mengmeng& Zuo, Wanli& Wang, Ying. 2015. A Multilayer Naïve Bayes Model for Analyzing User’s Retweeting Sentiment Tendency. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1057711
Modern Language Association (MLA)
Wang, Mengmeng…[et al.]. A Multilayer Naïve Bayes Model for Analyzing User’s Retweeting Sentiment Tendency. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1057711
American Medical Association (AMA)
Wang, Mengmeng& Zuo, Wanli& Wang, Ying. A Multilayer Naïve Bayes Model for Analyzing User’s Retweeting Sentiment Tendency. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1057711
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057711