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Stance detection is a subproblem of sentiment analysis where the stance of the author of a piece of natural language text for a particular target (either explicitly stated in the text or not) is explored.
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Controversy detection and stance analysis. In Proceedings of the International ACM Conference on Research and Development in Information Retrieval
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Extracting argument and domain words for identifying argument components in texts. In Proceedings of the Workshop on Argumentation Mining
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Joint models of disagreement and stance in online debate. In Proceedings of the Annual Meeting of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing
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Stance detection with bidirectional conditional encoding. In Proceedings of the Conference on Empirical Methods in Natural Language Processing
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Joint named entity recognition and stance detection in tweets
Dilek Küçük. 2017a
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pkudblab at SemEval-2016 Task 6: A specific convolutional neural network system for effective stance detection. In Proceedings of the International Workshop on Semantic Evaluation
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MITRE at SemEval-2016 task 6: Transfer learning for stance detection. In Proceedings of the International Workshop on Semantic Evaluation
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Extracting contextonyms from Twitter for stance detection. In Proceedings of the International Conference on Agents and Artificial Intelligence
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Stance and sentiment in tweets
Saif M Mohammad, Parinaz Sobhani, and Svetlana Kiritchenko. 2017 · 2017
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A dataset for multi-target stance detection. In Proceedings of the Conference of the European Chapter of the Association for Computational Linguistics
Parinaz Sobhani, Diana Inkpen, and Xiaodan Zhu. 2017 · 2017
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