ltl.uni-due at SemEval-2016 Task 6: Stance Detection in Social Media Using Stacked Classifiers-Reference-Cited by-同舟云学术

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ltl.uni-due at SemEval-2016 Task 6: Stance Detection in Social Media Using Stacked Classifiers

Published:2016 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
language:
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Author:

Wojatzki Michael,Zesch Torsten

Publisher

Association for Computational Linguistics

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Using Twitter as a digital insight into public stance on societal behavioral dynamics;Journal of King Saud University - Computer and Information Sciences;2024-06

2. An influences-adapted two-phase approach to stance detection in the diachronic perspective;Expert Systems with Applications;2023-11

3. Fin-STance: A Novel Deep Learning-Based Multi-Task Model for Detecting Financial Stance and Sentiment;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

4. Explainable Cross-Topic Stance Detection for Search Results;Proceedings of the 2023 Conference on Human Information Interaction and Retrieval;2023-03-19

5. Stance detection in tweets: A topic modeling approach supporting explainability;Expert Systems with Applications;2023-03

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