Tweet Acts: A Speech Act Classifier for Twitter
Speech acts are a way to conceptualize speech as action. This holds true for communication on any platform, including social media platforms such as Twitter. In this paper, we explored speech act recognition on Twitter by treating it as a multi class classification problem. We created a taxonomy of six speech acts for Twitter and proposed a set of semantic and syntactic features. We trained and tested a logistic regression classifier using a data set of manually labelled tweets. Our method achieved a state of the art performance with an average F1 score of more than $0.70$ We also explored classifiers with three different granularities (Twitter wide, type specific and topic specific) in order to find the right balance between generalization and overfitting for our task.
ICWSM