Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/166562
Title: Suicidal ideation detection
Authors: Ong, Jun Hao
Keywords: Engineering::Computer science and engineering
Issue Date: 2023
Publisher: Nanyang Technological University
Source: Ong, J. H. (2023). Suicidal ideation detection. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/166562
Abstract: 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.
URI: https://hdl.handle.net/10356/166562
Schools: School of Computer Science and Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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