Improved Abusive Comment Moderation with User Embeddings
August 11, 2017 ยท Declared Dead ยท ๐ NLPmJ@EMNLP
"No code URL or promise found in abstract"
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Authors
John Pavlopoulos, Prodromos Malakasiotis, Juli Bakagianni, Ion Androutsopoulos
arXiv ID
1708.03699
Category
cs.CL: Computation & Language
Citations
30
Venue
NLPmJ@EMNLP
Last Checked
4 months ago
Abstract
Experimenting with a dataset of approximately 1.6M user comments from a Greek news sports portal, we explore how a state of the art RNN-based moderation method can be improved by adding user embeddings, user type embeddings, user biases, or user type biases. We observe improvements in all cases, with user embeddings leading to the biggest performance gains.
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