Abusive Language Detection in Online Conversations by Combining Content- and Graph-based Features - Archive ouverte HAL
Poster Communications Year : 2022

Abusive Language Detection in Online Conversations by Combining Content- and Graph-based Features

Noé Cecillon
Vincent Labatut

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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Dates and versions

hal-03857928 , version 1 (17-11-2022)

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  • HAL Id : hal-03857928 , version 1

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Noé Cecillon, Vincent Labatut, Richard Dufour. Abusive Language Detection in Online Conversations by Combining Content- and Graph-based Features. Meetup LIAvignon, Nov 2022, Avignon, France. 2022. ⟨hal-03857928⟩
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