Suicidal ideation detection

This FYP explores the role of social media platforms as a means for users to express their thoughts, emotions, and experiences, particularly in relation to suicide risk. The primary objective of this research is to create a reliable and effective model that can accurately classify texts as either co...

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Main Author: Ong, Jun Hao
Other Authors: Bo An
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/166562
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1665622023-05-05T15:41:51Z Suicidal ideation detection Ong, Jun Hao Bo An School of Computer Science and Engineering boan@ntu.edu.sg Engineering::Computer science and engineering This FYP explores the role of social media platforms as a means for users to express their thoughts, emotions, and experiences, particularly in relation to suicide risk. The primary objective of this research is to create a reliable and effective model that can accurately classify texts as either consisting of suicidal ideations or non-suicidal ideations based on their content. This project aims to open up opportunities for further exploration of more advanced modelling techniques, incorporating additional data sources, and implementing the model in real-world applications. Bachelor of Engineering (Computer Science) 2023-05-05T02:57:34Z 2023-05-05T02:57:34Z 2023 Final Year Project (FYP) Ong, J. H. (2023). Suicidal ideation detection. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/166562 https://hdl.handle.net/10356/166562 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering
spellingShingle Engineering::Computer science and engineering
Ong, Jun Hao
Suicidal ideation detection
description This FYP explores the role of social media platforms as a means for users to express their thoughts, emotions, and experiences, particularly in relation to suicide risk. The primary objective of this research is to create a reliable and effective model that can accurately classify texts as either consisting of suicidal ideations or non-suicidal ideations based on their content. This project aims to open up opportunities for further exploration of more advanced modelling techniques, incorporating additional data sources, and implementing the model in real-world applications.
author2 Bo An
author_facet Bo An
Ong, Jun Hao
format Final Year Project
author Ong, Jun Hao
author_sort Ong, Jun Hao
title Suicidal ideation detection
title_short Suicidal ideation detection
title_full Suicidal ideation detection
title_fullStr Suicidal ideation detection
title_full_unstemmed Suicidal ideation detection
title_sort suicidal ideation detection
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/166562
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