Evaluation

  • Accuracy: 0.75
  • Weighted F-score: 0.75
  • Individual F-scores: 0.72/0.77
  • Precision: 0.81/0.71
  • Recall: 0.65/0.85
  • AUC: 0.75

Paper

Title: Automating Protest Event Analysis: A Transformer-Based Hybrid Approach
Authors: Formisano, G., Froio, C., Castelli Gattinara, P.
Status: Conditionally accepted for publication
Journal: Political Science Research & Methods
Cite as: Formisano, G., Froio, C., Castelli Gattinara, P. (conditionally accepted). Automating Protest Event Analysis: A Transformer-Based Hybrid Approach. Political Science Research & Methods.

Downloads last month
1
Safetensors
Model size
0.3B params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Dataset used to train giufo/xlm-roberta-farpo-protest-issue-classifier

Collection including giufo/xlm-roberta-farpo-protest-issue-classifier