Mining Offensive Language on Social Media

Alessandro Maisto, Serena Pelosi, Simonetta Vietri, Pierluigi Vitale · Accademia University Press eBooks · 2017

The present research deals with the automatic annotation and classification of vulgar ad offensive speech on social media. In this paper we will test the effectiveness of the computational treatment of the taboo contents shared on the web, the output is a corpus of 31,749 Facebook comments which has been automatically annotated through a lexicon-based method for the automatic identification and classification of taboo expressions.

Read the paper · More papers on PaperTik