Predicting Stance Polarity and Intensity in Cyber Argumentation With Deep Bidirectional Transformers-Reference-Cited by-同舟云学术

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Predicting Stance Polarity and Intensity in Cyber Argumentation With Deep Bidirectional Transformers

Published:2021-06 Issue:3 Volume:8 Page:655-667
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Sirrianni Joseph W.^ORCID,Liu Xiaoqing,Adams Douglas

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modelling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/6570650/9444159/09353851.pdf?arnumber=9353851

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3. Assessing Impact of Social Network on Formation of Opinions in Integrated Intelligent Argumentation with Social Network;Proceedings of the International Conference on Advances in Social Networks Analysis and Mining;2023-11-06

4. Predicting Interpersonal Influence from Conversational Features;2023 10th International Conference on Behavioural and Social Computing (BESC);2023-10-30

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