Deep Learning for User Comment Moderation

Ion Androutsopoulos; John Pavlopoulos; Prodromos Malakasiotis

Deep Learning for User Comment Moderation

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arxiv 1705.09993 v2 pith:RPX7RM7S submitted 2017-05-28 cs.CL cs.LG

John Pavlopoulos , Prodromos Malakasiotis , Ion Androutsopoulos This is my paper · ORCID

classification cs.CLcs.LG

keywords moderationcommentsdeepuserattentionautomaticbaselineclassification-specific

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Experimenting with a new dataset of 1.6M user comments from a Greek news portal and existing datasets of English Wikipedia comments, we show that an RNN outperforms the previous state of the art in moderation. A deep, classification-specific attention mechanism improves further the overall performance of the RNN. We also compare against a CNN and a word-list baseline, considering both fully automatic and semi-automatic moderation.

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