Stress Sentiments via Emotion Detection
Abstract
Suicide prevention is a critical task that requires early intervention and support. This project aims to develop an emotion detection system that can identify suicidal sentiments in text data, enabling timely interventions. Using NLP and ML techniques, our system will analyze text inputs and detect emotions associated with suicidal ideation, such as hopelessness, despair, and distress. Our goal is to create a tool that can accurately identify individuals at risk and provide resources and support to help them cope with their emotions and overcome suicidal thoughts.
Author(s) and co-author(s) jointly and severally represent and warrant that the Article is original with the author(s) and does not infringe any copyright or violate any other right of any third parties and that the Article has not been published elsewhere. Author(s) agree to the terms that the IJO Journal will have the full right to remove the published article on any misconduct found in the published article.
