library_name: transformers
tags:
- politics
- parliamnet
- sentiment-analysis
Model Card for Model ID
Fine-tuned BERT trained to identify political party from speech in the UK Parliament. Trained with Labour/Conservative speeches using the hansard dataset 2000-2020
Model Details
- License: MIT
- Finetuned from model : BERT
Model Sources
- Repository: Available on Github
Uses
Model can be used to predict whether an item of speech from the UK Parliament was said by a member of the Labour or Conservative Party.
Out-of-Scope Use
Model has only been exposed to UK data and speeches from Labour or Conservative. May not work as intended for other parties or geographies.
Training Data
Preprocessing
[bert-cased]
Evaluation
Evaluated on held-out test data. Achieved test accuracy >80% and test loss <0.4 (binary cross-entropy).
Citation
BibTeX:
@misc{baly2020detect, title={We Can Detect Your Bias: Predicting the Political Ideology of News Articles}, author={Ramy Baly and Giovanni Da San Martino and James Glass and Preslav Nakov}, year={2020}, eprint={2010.05338}, archivePrefix={arXiv}, primaryClass={cs.CL} }