Work

Features for modelling characteristics of conversations : Notebook for PAN at CLEF 2012

Year: 2012

Type: conference-paper

Abstract: In this experiment, we find that features which model interaction andconversational behaviour contribute well to identifying sexual grooming behaviourin chat and forum text. Together with the obviously useful lexical features —which we find are more valuable if separated by who generates them — weachieve very successful results in identifying behavioural patterns which maycharacterise sexual grooming. We conjecture that the general framework can beused for other purposes than this specific case if the lexical features are exchangedfor other topical models, the conversational features characterise interaction andbehaviour rather than topical choice.

Source: KTH Publication Database DiVA (KTH Royal Institute of Technology)

Authors: Gunnar Eriksson, Jussi Karlgren

Language: English

Topic: Hate Speech and Cyberbullying Detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W15543013

FWCI: 0.521

Cites:

Cited by: 10

Related to: 10