Model Card for Model ID

jasmeeetsingh/twitter-depression-classification-sentiment140 is a deep learning model trained to classify whether a given tweet is suicidal or not. The model is based on a transformer architecture and fine-tuned on a large corpus of tweets annotated as suicidal or non-suicidal.

Model Details

Model Description

  • Developed by: Jasmeet Singh Sandhu
  • Finetuned from model: paulagarciaserrano/roberta-depression-detection

Uses

The model is intended to be used to classify tweets automatically as suicidal or non-suicidal. It can be used to analyze large volumes of tweets and identify users who may be at risk of depression, as well as to monitor the prevalence of depression-related discussions on social media platforms.

Metrics

Technical Specifications

The model was trained on a 6GB RTX 3060

Downloads last month
19
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train jasmeeetsingh/twitter-depression-classification-sentiment140