Intelligent AI Assisted Psychological Disorder Analysis Using Sentiment Inference

摘要

In the current scenario, there is no computing system in practice which understands or provides analytical insights for the language used in the psychological documents maintained by psychiatrists. Most importantly, there is no standardized language or methodology used in psychiatric practice to diagnose a psychological disorder. The main aim of our system is to provide a standardized platform for an assistance in diagnosis using Natural Language Processing techniques and Sentiment Inference. The system would suggest to the psychiatrist, the psychological disorder identified and its severity from the document text. The severity is obtained via a gradient score, which is computed by the semantic based gradient processing module - the core of our research. The psychiatrist can approve/correct the system diagnosis if necessary and reassign the gradient values for phrases contributing towards disorder severity. In an automated process, model gets re-trained after a particular threshold is reached, continually improving its performance.