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.

翻译：自杀被公认为现代社会最严重的社会问题之一。自杀悲剧影响着国家、社区和家庭。导致自杀意念的因素众多。对自杀意念的早期检测有助于通过为受害者提供必要的专业支持来预防自杀事件的发生，尤其在受害者尚未意识到自身存在自杀意念危险时更为关键。随着技术应用的普及，人们通过社交媒体、聊天机器人及其他数字平台以数字化方式分享和表达其意念。本文提出一种新颖且简洁的基于深度学习模型，用于检测数字内容中的自杀意念，重点以聊天机器人作为主要数据来源。此外，我们还构建了一个框架，将所提出的自杀检测系统与基于聊天机器人的支持系统进行集成。