BHKAI: Turkish news category classifier
BHKAI assigns a category to each incoming story. When it is confident it answers on its own; otherwise the story goes to the AI model.
Model
Method: TF-IDF (300,000 features, min_df 3) with an SGD classifier (alpha 2e-06).
Version: bhkai-20261101, retrained nightly and promoted only if it passes its exam.
Training data: 454,564 stories labelled by the teacher model. Data cut-off: 2026-11-01T03:25:32.
Exam
Last 2 days, 3517 stories.
| Threshold | Coverage | Agreement |
|---|---|---|
| 0.5 | 0.857 | 0.901 |
| 0.7 | 0.676 | 0.952 |
| 0.8 (live) | 0.561 | 0.965 |
Files
agirlik.npz: weightssozluk.json: vocabularybilgi.json: version, exam and comparison details
License
CC BY-NC 4.0 (non-commercial). For commercial use, contact https://bultenhub.com.