Improved Target-Specific Stance Detection on Social Media Platforms by Delving Into Conversation Threads-Reference-Cited by-同舟云学术

Improved Target-Specific Stance Detection on Social Media Platforms by Delving Into Conversation Threads

Author:

Li Yupeng¹^ORCID,He Haorui²^ORCID,Wang Shaonan³^ORCID,Lau Francis C. M.⁴,Song Yunya⁵

Affiliation:

1. Department of Interactive Media, Hong Kong Baptist University, Kowloon Tsai, Hong Kong

2. School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China

3. State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Beijing, CAS, China

4. Department of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong

5. Department of Journalism, Hong Kong Baptist University, Kowloon Tsai, Hong Kong

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

One-off Tier 2 Start-up Grant

of Hong Kong Baptist University

Startup Grant (Tier 1) for New Academics

AI-Info Communication Study (AIS) Scheme

National Natural Science Foundation of China

Germany/Hong Kong Joint Research Scheme sponsored by the Research Grants Council of Hong Kong and the German Academic Exchange Service of Germany

Hong Kong RGC Early Career Scheme

Initiation Grant for Faculty Niche Research Areas of Hong Kong Baptist University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Reference57 articles.

1. Stance detection and analysis in social media;Sobhani,2017

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