Activities per year
Project Details
Description
This research proposes a feasibility study to test the viability of Natural Language Processing (NLP) and Machine Learning (ML) techniques as tools to identify and risk assess (alleged) perpetrators of Technology Facilitated Coercive Control (TFCC), including those in adolescent relationships.
The project received £115K from Home Office
Funder: Home Office
Collaboration with London South Bank University, De Montfort University and University of Brighton
The project received £115K from Home Office
Funder: Home Office
Collaboration with London South Bank University, De Montfort University and University of Brighton
Key findings
The research shows that abusive traces identified from textual communication can be used to model perpetrators' behaviour
Short title | AI for Domestic Abuse Perpetrators Research |
---|---|
Status | Finished |
Effective start/end date | 1/12/21 → 31/05/22 |
Collaborative partners
- Edge Hill University
- London South Bank University (lead)
- De Montfort University
- University of Brighton
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
Keywords
- sexual violence
- domestic abuse
- natural language processing
- machine learning
- big data
Research Groups
- SustainNET
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Activities
- 1 Invited talk
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Research Themes Launch: Living in Digital Age
NNAMOKO, N. (Invited speaker)
6 May 2022Activity: Talk or presentation types › Invited talk