SYEDFAIZAN1987/mindBERT
mindBERT is a transformer-based model fine-tuned for mental health text classification. It utilizes state-of-the-art Natural Language Processing (NLP) techniques to detect various mental health conditions from textual data. The model is trained on the 50,000 sentence mental health state labelled dataset and achieves high accuracy .
No commits in the last 6 months.
Stars
3
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 02, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/SYEDFAIZAN1987/mindBERT"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
monologg/GoEmotions-pytorch
Pytorch Implementation of GoEmotions 😍😢😱
tae898/erc
The official implementation of "EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTa"
gohjiayi/suicidal-text-detection
Building a suicidal text detection model and mental health chatbot with deep learning models and...
monologg/GoEmotions-Korean
Korean version of GoEmotions Dataset 😍😢😱
declare-lab/exemplary-empathy
This repository contains the source codes of the paper -- Exemplars-guided Empathetic Response...