Harnessing AI for Suicidal Ideation Detection: Thoroughly Evaluating and Fine-Tuning Transformer Models to Identify Suicidal Ideation in Social Media Posts
This thesis explored the application of pre-trained transformer models in detecting suicidal ideation in social media posts. We leveraged social media data from platforms like Reddit and Twitter and applied a robust hyperparameter random search strategy to fine-tune and evaluate existing transformer models. Despite noise in the fine-tuning data, the models demonstrated high performance in identify