Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/153252
Title: AI for social good
Authors: Toh, Wei Loong
Keywords: Engineering::Computer science and engineering
Issue Date: 2021
Publisher: Nanyang Technological University
Source: Toh, W. L. (2021). AI for social good. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/153252
Project: SCSE20-0977
Abstract: This project aims to look at novel ways to detect suicide ideation. Suicide rates have been steadily increasing throughout the years. A wealth of information has also been made available to us with the advent of social media. This project aims to determine the feasibility of using Natural Language Processing, specifically a combination of different pre-trained transformer models and rule-based algorithms, to identify if a particular person displays suicidal ideation. I split the symptoms of suicide into their different categories and experimented with different pre-trained transformer model to find the best model to detect the various symptoms using semantic similarity with cosine similarity. I then proceeded to find the ideal weightage of the categories to maximize the accuracy of my model.
URI: https://hdl.handle.net/10356/153252
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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