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 [optional]: paulagarciaserrano/roberta-depression-detection
Uses
The model is intended to be used to automatically classify tweets 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.
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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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