indranil143/Mental-Health-Sentiment-Analysis-using-Deep-Learning
A deep learning project using fine-tuned RoBERTa to classify mental health sentiments from text, aiming to provide early insights and support. ⚕️❤️
This project helps identify mental health sentiments from text, like social media posts or online discussions. You provide text content, and it classifies it into categories such as Anxiety, Depression, Stress, or Suicidal, along with a probability score for each. This is designed for mental health professionals, social workers, or community managers monitoring online content to understand emotional cues and offer timely support.
No commits in the last 6 months.
Use this if you need to quickly assess the mental health sentiment expressed in written text to inform early interventions or public health insights.
Not ideal if you need to perform real-time, high-stakes clinical diagnosis, as this tool is for early detection and insight, not a substitute for professional evaluation.
Stars
35
Forks
7
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 15, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/indranil143/Mental-Health-Sentiment-Analysis-using-Deep-Learning"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
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.
zeinhasan/Suicidal-Detection-Sentiment-Analysis
Suicidal Ideation Detection Using Natural Languange Processing and Machine Learning - Deep...
mistr3ated/AI-Psychometrics-Nigel
This repository contains code from my experiments with AI for psychological measurement. Read...
BouzidiImen/Social_media_Prediction_depression
This consists in using a variety of social networks data, including both images and texts, to...