Abusive Language Detection in Online Conversations by Combining Content- and Graph-based Features
Abstract
Our objective is to detect abusive messages in online conversations through content- and graph-based methods. Our approach consists in: 1) Exhibiting the importance of structural information in the context of online abuse detection; 2) Combining textual and structural information by proposing fusion methods of both types of information.
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