Detecting Stance in Tweets And Analyzing its Interaction with Sentiment

@inproceedings{Sobhani2016DetectingSI,
  title={Detecting Stance in Tweets And Analyzing its Interaction with Sentiment},
  author={Parinaz Sobhani and Saif Mohammad and Svetlana Kiritchenko},
  booktitle={*SEM@ACL},
  year={2016}
}
One may express favor (or disfavor) towards a target by using positive or negative language. Here for the first time we present a dataset of tweets annotated for whether the tweeter is in favor of or against pre-chosen targets, as well as for sentiment. These targets may or may not be referred to in the tweets, and they may or may not be the target of opinion in the tweets. We develop a simple stance detection system that outperforms all 19 teams that participated in a recent shared task… CONTINUE READING
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