Moodshift: An App for Depression
Author(s):
Nidhi Soni, Shruti Nirbhavane, Prabhleen Kaur Saluja, Jaya Mane, Shobha Raskar
Keywords:
Chatbot, depression detection, machine learning algorithm, mental healthcare, natural language generation, natural language processing, voice-based chatbot.
Abstract
Chatbots were introduced to mimic human behavior. This concept can be applied to mental healthcare apps wherein the users anticipate they are talking to a mental health professional. Instead of being a static web app, chatbots are becoming more prevalent in mental healthcare apps. They mimic the human behavior by asking users to provide a mental health diagnosis. There are many vulnerable groups who will suffer from psychological distress, anxiety, depression, substance abuse, suicide and suicidal behavior due to economic recession, insecure job situation, unemployment, lower socio-economic status. The effects on mental health will last several years after the pandemic ends. Delay in seeking professional help because of stigma surrounding mental health will cause more issues,”. Voice-based chatbot makes it casual, intuitive, and direct. Interaction with the chatbot happens through natural language whereas its evaluation happens through natural language processing and natural language generation. A machine learning algorithm is used to classify depression detection results according to the severity.
Article Details
Unique Paper ID: 151788

Publication Volume & Issue: Volume 8, Issue 1

Page(s): 927 - 929
Article Preview & Download


Share This Article

Conference Alert

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Go To Issue



Call For Paper

Volume 8 Issue 4

Last Date 25 September 2021

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies