A deep neural networks-based fusion model for COVID-19 rumor detection from online social media (English)
- New search for: Lu, Heng-yang
- Further information on Lu, Heng-yang:
- https://orcid.org/0000-0001-5321-705X
- New search for: Yang, Jun
- New search for: Fang, Wei
- New search for: Song, Xiaoning
- New search for: Wang, Chongjun
- New search for: Lu, Heng-yang
- Further information on Lu, Heng-yang:
- https://orcid.org/0000-0001-5321-705X
- New search for: Yang, Jun
- New search for: Fang, Wei
- New search for: Song, Xiaoning
- New search for: Wang, Chongjun
In:
Data Technologies and Applications
;
56
, 5
;
806-824
;
2022
-
ISSN:
- Article (Journal) / Electronic Resource
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Title:A deep neural networks-based fusion model for COVID-19 rumor detection from online social media
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Additional title:TopCom model for COVID-19 rumor detection
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Contributors:Lu, Heng-yang ( author ) / Yang, Jun ( author ) / Fang, Wei ( author ) / Song, Xiaoning ( author ) / Wang, Chongjun ( author )
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Published in:Data Technologies and Applications ; 56, 5 ; 806-824
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Publisher:
- New search for: Emerald Publishing Limited
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Publication date:2022-04-22
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Size:19 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 56, Issue 5
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 645
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- 806
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A deep neural networks-based fusion model for COVID-19 rumor detection from online social mediaLu, Heng-yang / Yang, Jun / Fang, Wei / Song, Xiaoning / Wang, Chongjun et al. | 2022