license: afl-3.0
widget:
- text: >-
To ask the Secretary of State for Energy and Climate Change what estimate
he has made of the proportion of carbon dioxide emissions arising in the
UK attributable to burning.
example_title: English (UK House of Commons Question)
- text: >-
To ask the Scottish Government what action it is taking to ensure that
women who are prescribed sodium valproate are (a) adequately counselled
regarding the risks of taking the drug while pregnant and (b) supported to
plan their pregnancies in order to minimise the risk of foetal
abnormalities.
example_title: English (Scottish Parliamentary Question)
Multilingual Bert base (multilingual uncased) model trained to predict CAP issue codes.
Model training on 120,000 assorted political documents -- mostly from the Comparative Agendas Project
Countries:
- Italy
- Sweden
- France
- Switzerland
- Poland
- Netherlands
- Germany
- Denmark
- Spain
- UK
- Austria
- Ireland
LABELS USED IN TRAINING
Model labels -> CAP labels:
{0: 1.0, 1: 2.0, 2: 3.0, 3: 4.0, 4: 5.0, 5: 6.0, 6: 7.0, 7: 8.0, 8: 9.0, 9: 10.0, 10: 12.0, 11: 13.0, 12: 14.0, 13: 15.0, 14: 16.0, 15: 17.0, 16: 18.0, 17: 19.0, 18: 20.0, 19: 23.0}
Model labels -> CAP issues:
{0: 'macroeconomics', 1: 'civil_rights', 2: 'healthcare', 3: 'agriculture', 4: 'labour', 5: 'education', 6: 'environment', 7: 'energy', 8: 'immigration', 9: 'transportation', 10: 'law_crime', 11: 'social_welfare', 12: 'housing', 13: 'domestic_commerce', 14: 'defense', 15: 'technology', 16: 'foreign_trade', 17: 'international_affairs', 18: 'government_operations', 19: 'culture'}
Validation
| Class | Precision | Recall | F1-score | Support |
|---|---|---|---|---|
| 0 | 0.72 | 0.83 | 0.77 | 211 |
| 1 | 0.82 | 0.77 | 0.79 | 242 |
| 2 | 0.82 | 0.86 | 0.84 | 251 |
| 3 | 0.92 | 0.89 | 0.90 | 228 |
| 4 | 0.81 | 0.85 | 0.83 | 220 |
| 5 | 0.90 | 0.93 | 0.91 | 244 |
| 6 | 0.87 | 0.87 | 0.87 | 230 |
| 7 | 0.92 | 0.88 | 0.90 | 251 |
| 8 | 0.94 | 0.90 | 0.92 | 237 |
| 9 | 0.87 | 0.88 | 0.87 | 263 |
| 10 | 0.70 | 0.88 | 0.78 | 189 |
| 11 | 0.90 | 0.81 | 0.85 | 248 |
| 12 | 0.87 | 0.90 | 0.88 | 222 |
| 13 | 0.76 | 0.72 | 0.74 | 255 |
| 14 | 0.84 | 0.84 | 0.84 | 241 |
| 15 | 0.92 | 0.79 | 0.85 | 276 |
| 16 | 0.95 | 0.90 | 0.92 | 258 |
| 17 | 0.71 | 0.82 | 0.76 | 200 |
| 18 | 0.77 | 0.73 | 0.75 | 215 |
| 19 | 0.92 | 0.91 | 0.92 | 239 |
| Accuracy | --- 0.85 --- | |||
| Macro Avg | 0.85 | 0.85 | 0.85 | 4720 |
| Weighted Avg | 0.85 | 0.85 | 0.85 | 4720 |