Heng, Elvin Jia Guang (2020) SUICIDAL TENDENCY DETECTION USING MACHINE LEARNING. [Final Year Project Report] (Unpublished)
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Abstract
Suicide is a serious mental health problem which has taken away many lives. With the emergence of social media, people are expressing their feelings on social media. Some of them contain negative feelings which are indicative of suicide ideation. This presents a good opportunity to detect suicidal tendency from written text, and with early detection and intervention, more lives could be saved. This project aims to apply machine learning techniques to detect suicidal tendency from written text. Several machine learning algorithms and feature engineering techniques are studied and experimented to find out how they perform on the task of classifying texts into suicidal or non-suicidal texts.
| Item Type: | Final Year Project Report |
|---|---|
| Additional Information: | Project Report (BSc.) -- Universiti Malaysia Sarawak, 2020. |
| Uncontrolled Keywords: | suicidal tendency, mental health problem, machine learning techniques. |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology |
| Depositing User: | Gani |
| Date Deposited: | 26 Jan 2021 06:11 |
| Last Modified: | 11 Jan 2024 01:47 |
| URI: | http://ir.unimas.my/id/eprint/34041 |
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