Towards Suicide Prevention: A Natural Language Processing and Machine Learning Approach Integrated with Chatbot

The paper presents a prediction model for identifying suicide intent in social media messages, especially on Twitter and Reddit. A huge dataset of postings, including symptoms of suicide ideation or behaviour, was analyzed using natural language processing (NLP) techniques, and characteristics were collected to build a machine learning (ML) model. The prediction algorithm was subsequently incorporated into a functioning mental health chatbot, which will give users at risk of suicide relevant resources and help. The initiative intends to improve mental health and suicide prevention efforts while also considering critical ethical factors, such as respecting user privacy and ensuring that the chatbot does not replace professional mental health treatment.