CautionSuicide: A Deep Learning Based Approach for Detecting Suicidal Ideation in Real Time Chatbot Conversation
This addresses the need for early suicide prevention by identifying at-risk individuals through digital platforms, though it appears incremental as it applies existing deep learning methods to a specific domain.
The paper tackles the problem of detecting suicidal ideation in digital conversations, specifically focusing on chatbot interactions, and proposes a deep learning model integrated with a chatbot support system for real-time detection.
Suicide is recognized as one of the most serious concerns in the modern society. Suicide causes tragedy that affects countries, communities, and families. There are many factors that lead to suicidal ideations. Early detection of suicidal ideations can help to prevent suicide occurrence by providing the victim with the required professional support, especially when the victim does not recognize the danger of having suicidal ideations. As technology usage has increased, people share and express their ideations digitally via social media, chatbots, and other digital platforms. In this paper, we proposed a novel, simple deep learning-based model to detect suicidal ideations in digital content, mainly focusing on chatbots as the primary data source. In addition, we provide a framework that employs the proposed suicide detection integration with a chatbot-based support system.