NazarioR9/BNBR_Challenge
The objective of this challenge is to develop a machine learning model that classifies statements and questions expressed by university students in Kenya when speaking about the mental health challenges they struggle with. The four categories are depression, suicide, alchoholism, and drug abuse.
This project helps mental health professionals or support organizations in Kenya understand the specific challenges students face. It takes statements and questions from university students about their mental health and classifies them into categories like depression, suicide, alcoholism, or drug abuse. This allows for better tracking and response to student mental health needs.
No commits in the last 6 months.
Use this if you are a mental health researcher, counselor, or policymaker in Kenya needing to categorize student expressions of mental health struggles to identify prevalence and specific areas of concern.
Not ideal if you need to analyze mental health discourse from a different population or in a language other than the Swahili-English blend spoken by Kenyan university students.
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Aug 18, 2020
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