An unsupervised pipeline uses phrase mining and a topic-viewpoint model with author interactions to extract a pro/con table of sentential reasons from online debates.
In: LREC (2016)
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Contrastive Reasons Detection and Clustering from Online Polarized Debate
An unsupervised pipeline uses phrase mining and a topic-viewpoint model with author interactions to extract a pro/con table of sentential reasons from online debates.