This model classified politicians' tweets in English according to nine issues:

Health
Economy
Immigration
Crime
Education
Taxes
International Affairs
Defense
Environment

The model was used to classify Twitter messages to study responsiveness to public issue salience for a forthcoming article. A link to the article will be provided that explains the training and validation process upon publication.

Downloads last month: 10

Safetensors

Model size

109M params

Tensor type

F32

Inference Examples

Text Classification

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.