SafeChat System with Natural Language Processing and Deep Neural Networks

Seedall, M, MacFarlane, Kate and Holmes, V (2019) SafeChat System with Natural Language Processing and Deep Neural Networks. In: EMIT 2019.

[img]
Preview
PDF
EMIT2019 Paper[1613].pdf - Accepted Version

Download (337kB) | Preview

Search Google Scholar

Abstract

The internet plays an ever-increasing part in the day-to-day lives of many people. Ubiquitous computing has given rise to sophisticated, streamlined and faster connections across a range of devices. Mobile smart phones are in the hands of children as young as five years old, and whilst this allows them to interact with educational applications and the wealth of information available on-line, it can put them in danger.
There has been a consistent stream of stories involving children and adolescents being at risk because of unsafe on-line behaviour. Predators can prey on the vulnerable, by pretending to be a peer and convincing them, by charm or threats, to compromise their safety. Governments across the globe have initiatives to combat this threat, there are working groups and police task forces in place to respond to both the growing number, and impact of these incidents on children, young people, families and communities. In order to monitor on-line conversation and identify different levels of threats, the SafeChat system was designed and implemented using an ontology-based system and Natural Language Processing (NLP) techniques.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computing > Data Science
Computing > Artificial Intelligence
Computing > Information Systems
Computing > Software Engineering
Divisions: Faculty of Technology
Faculty of Technology > School of Computer Science
Depositing User: Kate MacFarlane
Date Deposited: 18 Jul 2019 09:25
Last Modified: 18 Dec 2019 16:08
URI: http://sure.sunderland.ac.uk/id/eprint/10968
ORCID for Kate MacFarlane: ORCID iD orcid.org/0000-0003-0271-3314

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year