A Tutorial on Stance Detection-Reference-Cited by-同舟云学术

A Tutorial on Stance Detection

Published:2022-02-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
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Author:

Küçük Dilek¹,Can Fazli²

Affiliation:

1. TUBITAK MRC Energy Institute, Ankara, Turkey

2. Bilkent University, Ankara, Turkey

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3488560.3501391

Reference44 articles.

1. Stance Classification of Twitter Debates

2. Rabab Alkhalifa and Arkaitz Zubiaga . 2020. QMUL-SDS at SardiStance2020: Leveraging network interactions to boost performance on stance detection using knowledge graphs. arXiv preprint arXiv:2011.01181 ( 2020 ). Rabab Alkhalifa and Arkaitz Zubiaga. 2020. QMUL-SDS at SardiStance2020: Leveraging network interactions to boost performance on stance detection using knowledge graphs. arXiv preprint arXiv:2011.01181 (2020).

3. GOOWE

4. Less Is More: A Comprehensive Framework for the Number of Components of Ensemble Classifiers

5. A novel approach for efficient stance detection in online social networks with metaheuristic optimization

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