Analysing suicidal tweets using machine learning involves using algorithms and natural language processing techniques to analyze large amounts of text data from social media platforms, with the goal of identifying patterns and signs of suicidal behavior. The process typically involves text pre-processing, feature extraction, and the use of machine learning models such as sentiment analysis, text classification, and risk assessment. The output from...