AI for social good
This study explores the effectiveness of diverse machine learning architectures in detecting depression, with an emphasis on postpartum depression identification and advanced sentiment analysis. We evaluated various Transformer-based models and identified RoBERTa as particularly adept at identifying...
Main Author: | Wong, Kelly Jie Yin |
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Other Authors: | Erik Cambria |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
Nanyang Technological University
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/175028 |
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