Stance detection for online public opinion awareness: An overview-Reference-Cited by-同舟云学术

Stance detection for online public opinion awareness: An overview

Published:2022-09-25 Issue:12 Volume:37 Page:11944-11965
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Cao Rong¹^ORCID,Luo Xiangyang¹²,Xi Yaoyi¹,Qiao Yaqiong¹³

Affiliation:

1. Henan Key Laboratory of Cyberspace Situation Awareness PLA Strategic Support Force Information Engineering University Zhengzhou Henan China

2. State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan China

3. School of Information Engineering North China University of Water Resources and Electric Power Zhengzhou Henan China

Publisher

Hindawi Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.23071

Reference72 articles.

1. Will-They-Won’t-They: A Very Large Dataset for Stance Detection on Twitter

2. SwapnaS JanyceW.Recognizing stances in online debates. In:Yih‐SuK SuJ WiebeJ eds.The 47th Annual Meeting of the ACL and the 4th International Joint Conference on NLP of the AFNLP;2019:226‐234.

3. AbeerA WalidM.Your stance is exposed! Analysing possible factors for stance detection on social media. In:The ACM on Human–Computer Interaction. Vol 2;2019:1‐20.

4. #Brexit: Leave or remain? the role of user’s community and diachronic evolution on stance detection

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