Artificial Intelligence Powered Chatbot for Mental Healthcare based on Sentiment Analysis

The importance of good mental health has been realised in recent times especially after the advent of the pandemic which has further worsened the mental health conditions. An individual facing mental disorders or having a tough time mentally often faces social stigma. Hence Chatbots can potentially prove to be a powerful tool for such people who are afraid of stigmatisation. This paper has been divided into two parts. The first part covers a detailed literature survey of the work that has been carried out in the field of medical chatbots and the algorithms that have been used in the proposed approach. The second part covers the implementation of the proposed system and the results obtained followed by the conclusion and future scope. Bidirectional LSTM model was used for performing sentiment analysis on user's text and an accuracy of 80.88% was obtained. The chatbot functions on the basis of a neural network model that provides a minimal loss.