emirgocen03/mental-health-text-classification
🧠Multi-model machine learning approach for mental health classification from social media text. Compares BERT, LSTM, and SVM models achieving 83.6% accuracy on 7 mental health categories. Research-focused with ethical AI considerations.
No commits in the last 6 months.
Stars
3
Forks
3
Language
Python
License
—
Category
Last pushed
Jun 15, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/emirgocen03/mental-health-text-classification"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
indranil143/Mental-Health-Sentiment-Analysis-using-Deep-Learning
A deep learning project using fine-tuned RoBERTa to classify mental health sentiments from text,...
galihru/MentalHealth
A comprehensive mental health monitoring application using modern web technologies.
giastahmad/DSS-Anxiety-Evaluator
Web app for anxiety assessment using DASS-42 and an ML model to predict key contributing factors.
mistr3ated/AI-Psychometrics-Nigel
This repository contains code from my experiments with AI for psychological measurement. Read...
zeinhasan/Suicidal-Detection-Sentiment-Analysis
Suicidal Ideation Detection Using Natural Languange Processing and Machine Learning - Deep...