4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      CautionSuicide: A Deep Learning Based Approach for Detecting Suicidal Ideation in Real Time Chatbot Conversation

      Preprint
      , ,

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          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.

          Related collections

          Author and article information

          Journal
          01 January 2024
          Article
          2401.01023
          e3b5fd04-f40e-4966-8b3a-4df2447143bf

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

          History
          Custom metadata
          5 pages, 6 figures, 4 tables, Under review in IEEE conference
          cs.HC cs.LG

          Artificial intelligence,Human-computer-interaction
          Artificial intelligence, Human-computer-interaction

          Comments

          Comment on this article