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Text similarity computation model for identifying rumor based on Bayesian network in microblog
Joint Authors
Li, Pu
Liu, Fengming
Li, Chengcheng
Source
The International Arab Journal of Information Technology
Issue
Vol. 17, Issue 5 (30 Sep. 2020), pp.731-741, 11 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2020-09-30
Country of Publication
Jordan
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
The research of text similarity, especially for rumor texts, which constructed the calculation model by known rumors and calculated its similarity.
From which, people can recognize the rumor in advance, and improve their vigilance to effectively block and control rumors dissemination.
Based on the Bayesian network, the similarity calculation model of microblog rumor texts was built.
At the same time, taking into account not only the rumor texts have similar characters, but also the rumor producers have similar characters, and therefore the similarity calculation model of rumor texts makers was constructed.
Then, the similarity between the text and the user was integrated, and the microblog similarity calculation model was established.
Finally, also experimentally studied the performance of the proposed model on the microblog rumor text and the user data set.
The experimental results indicated that the similarity algorithm proposed in this paper could be used to identify the rumors of texts and predict the characters of users more accurately and effectively.
American Psychological Association (APA)
Li, Chengcheng& Liu, Fengming& Li, Pu. 2020. Text similarity computation model for identifying rumor based on Bayesian network in microblog. The International Arab Journal of Information Technology،Vol. 17, no. 5, pp.731-741.
https://search.emarefa.net/detail/BIM-1439753
Modern Language Association (MLA)
Li, Chengcheng…[et al.]. Text similarity computation model for identifying rumor based on Bayesian network in microblog. The International Arab Journal of Information Technology Vol. 17, no. 5 (Sep. 2020), pp.731-741.
https://search.emarefa.net/detail/BIM-1439753
American Medical Association (AMA)
Li, Chengcheng& Liu, Fengming& Li, Pu. Text similarity computation model for identifying rumor based on Bayesian network in microblog. The International Arab Journal of Information Technology. 2020. Vol. 17, no. 5, pp.731-741.
https://search.emarefa.net/detail/BIM-1439753
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 740-741
Record ID
BIM-1439753