AI for social good
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 P...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2021
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/153252 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | 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. |
|---|