metadata

datasets:
  - sentiment140
metrics:
  - f1
license: apache-2.0
language:
  - en
pipeline_tag: text-classification
tags:
  - twitter
  - depression
  - sentiment140

Model Card for Model ID

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

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 depressive or non-depressive. 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.

Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters

Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

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Evaluation

Metrics

Technical Specifications

Model was trained on a 6GB RTX 3060