Sentiment Analysis using Chatbot and Mental Health Tracker

Authors

  • Chanchal Bhangdia  Student, Computer Department, MMCOE, Pune, Maharashtra, India
  • Shailaja Jadhav  Assistant Professor, Computer Department, MMCOE, Pune, Maharashtra, India
  • Tanvi Gadgil  Student, Computer Department, MMCOE, Pune, Maharashtra, India
  • Anjali Kumari  Student, Computer Department, MMCOE, Pune, Maharashtra, India
  • Mrunali Dasari  Student, Computer Department, MMCOE, Pune, Maharashtra, India

DOI:

https://doi.org//10.32628/CSEIT217687

Keywords:

Sentiment Analysis, Mental Health Tracker, Chatbot

Abstract

In today's world, the vast majority of the population suffers with intellectual illness, and lots of them are unaware of it. Some humans are too afraid to talk about mental illness due to the fact they don't know enough about it. However, humans should understand that our mental fitness is simply as crucial as our physical fitness. As a result, this mental health app is designed for such folks so that we can recognize and deal with their mental health issues. They might not need to worry about society and decorate their health on their own with the assistance of this application. This application will ask the person some easy questions about their daily habits and assign them day by day assignments. It will additionally tune their progress at the dashboard and will keep a separate diagnosis page. To diagnose a person, it's going to ask a few questions with four answers and assign a mark to each choice. At the end of the questions, it's going to calculate the users' marks and display the results, in addition to suggesting a few vital steps. It is going to additionally include different elements which includes video games, music, and a chatbot to keep the users' minds lively and healthful.

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Published

2022-01-30

Issue

Section

Research Articles

How to Cite

[1]
Chanchal Bhangdia, Shailaja Jadhav, Tanvi Gadgil, Anjali Kumari, Mrunali Dasari, " Sentiment Analysis using Chatbot and Mental Health Tracker, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 1, pp.131-136, January-February-2022. Available at doi : https://doi.org/10.32628/CSEIT217687