MENTAL HEALTHCARE CHATBOT |
Author(s): |
Samit Mhatre |
Keywords: |
Chatbot, Mental Health, Contextual, Bag of Words, Neural Networks |
Abstract |
Chatbots are a way for people to communicate with computer systems. A conversation with a chatbot is similar to having a conversation with a human being. Keeping that in mind, we have chosen to create a chatbot that deals with mental health issues like depression, anxiety, etc. As most people are not comfortable talking about it to other people, a chatbot might help provide some suggestions on how to deal with mental health issues. The core technology that will be used to create such a chatbot will be Natural Language Processing (NLP). Natural language processing consists of a vast range of manifold tasks such as textual entailment, question and answering, semantic similarity assessment. The capacity to learn efficiently from raw text is critical to reduce the dependency on supervised learning in natural language processing (NLP). The chatbot’s data will be stored in a database. The chatbot will identify user inputs and accordingly make a decision in the form of aresponse. |
Other Details |
Paper ID: IJSARTV Published in: Volume : 7, Issue : 11 Publication Date: 11/17/2021 |
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