Threat detection in online discussions

Author(s)

Publication date

2016

Document type

Abstract

This paper investigates the effect of various types of linguistic features (lexical, syntactic and semantic) for training classifiers to detect threats of violence in a corpus of YouTube comments. Our results show that combina- tions of lexical features outperform the use of more complex syntactic and semantic features for this task.

Version

acceptedVersion

Permanent URL (for citation purposes)

  • http://hdl.handle.net/10642/4287