CautionSuicide: A Deep Learning Based Approach for Detecting Suicidal
  Ideation in Real Time Chatbot Conversation
Nelly Elsayed Zag ElSayed Murat Ozer
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.