The SemEval-2016 Stance Dataset

Email: saif.mohammad@nrc-cnrc.gc.ca

A dataset of tweets manually annotated for stance towards given target, target of opinion (opinion towards), and sentiment (polarity). The full dataset with associated tweet id information is available here.


Details about this dataset and experiments on automatic classification for stance and sentiment are available in these papers:

Stance and sentiment in tweets. Saif M. Mohammad, Parinaz Sobhani, and Svetlana Kiritchenko. Special Section of the ACM Transactions on Internet Technology on Argumentation in Social Media, Submitted.
Paper (pdf)    BibTeX 

Detecting Stance in Tweets And Analyzing its Interaction with Sentiment. Parinaz Sobhani, Saif M. Mohammad, and Svetlana Kiritchenko. In Proceedings of the Joint Conference on Lexical and Computational Semantics (*Sem), August 2016, Berlin, Germany.
Paper (pdf)   BibTeX 

The stance labels for this dataset were used in a shared task competition: SemEval-2016 Task 6: Detecting Stance in Tweets. Further details about the data and the stance detection task can be found at the task website. The SemEval data is available for download here.

Semeval-2016 Task 6: Detecting Stance in Tweets. Saif M. Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, Xiaodan Zhu, and Colin Cherry. In Proceedings of the International Workshop on Semantic Evaluation (SemEval ’16). June 2016. San Diego, California.
Paper (pdf)    BibTeX    Task Website