Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022)

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A Two-Stage Classification Chatbot for Suicidal Ideation Detection

Authors
Jin Xuan Chan1, Sook-Ling Chua1, *, Lee Kien Foo1
1Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Selangor, Malaysia
*Corresponding author. Email: slchua@mmu.edu.my
Corresponding Author
Sook-Ling Chua
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-094-7_31How to use a DOI?
Keywords
Chatbot; Suicidal ideation detection; Deep learning; Mental health
Abstract

Suicide remains one of the leading causes of death globally and is a serious public health problem. Compounded by the lack of mental health professionals and lack of access to mental health services, it is difficult for people with mental health issues to seek treatment. The advancements in artificial intelligence have led to the development of mental health digital solution, such as chatbots. A chatbot is a software application that simulates human conversations with users through text or voice interactions. Chatbots have been receiving increasing attention lately for its roles in providing alternative support and helping in filling the gaps in mental health care. Although there are many chatbots that are widely used for mental health, they are not designed to detect suicide risk. In this paper, a two-stage classification chatbot is proposed for suicidal ideation detection.

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-094-7_31
ISSN
2589-4900
DOI
10.2991/978-94-6463-094-7_31How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jin Xuan Chan
AU  - Sook-Ling Chua
AU  - Lee Kien Foo
PY  - 2022
DA  - 2022/12/27
TI  - A Two-Stage Classification Chatbot for Suicidal Ideation Detection
BT  - Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022)
PB  - Atlantis Press
SP  - 405
EP  - 412
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-094-7_31
DO  - 10.2991/978-94-6463-094-7_31
ID  - Chan2022
ER  -