Semantic Role Labeling of Emotions in Tweets
نویسندگان
چکیده
Past work on emotion processing has focused solely on detecting emotions, and ignored questions such as ‘who is feeling the emotion (the experiencer)?’ and ‘towards whom is the emotion directed (the stimulus)?’. We automatically compile a large dataset of tweets pertaining to the 2012 US presidential elections, and annotate it not only for emotion but also for the experiencer and the stimulus. We then develop a classifier for detecting emotion that obtains an accuracy of 56.84 on an eight-way classification task. Finally, we show how the stimulus identification task can also be framed as a classification task, obtaining an F-score of 58.30.
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