BHDAI: same-event matcher for Turkish news
BHDAI decides whether two stories report the same event. BültenHub uses it to group stories from different sources.
Model
Method: logistic regression on 10 features: kos_baslik, kos_baslik_tum, kos_tum, ozel_oran, ozel_az, kaynak_baslik_kapsam, metin_baslik_dayanak, sayi_oran, sayi_yok, uzunluk_orani.
Version: bhdai-20261030, retrained nightly and promoted automatically after its exam.
Training data: 90,000 stories, 225,279 story pairs.
Exam
The exam uses the last 2 days: 5,229 stories.
| Threshold | Positive (same event) | Hard pair (wrong match) | Random pair |
|---|---|---|---|
| 0.05 (recommended) | 0.454 | 0.014 | 0.000 |
| 0.1 | 0.666 | 0.031 | 0.000 |
Files
agirlik.npz: weightssozluk.json: vocabularybilgi.json: features, coefficients and exam details
License
CC BY-NC 4.0 (non-commercial). For commercial use, contact https://bultenhub.com.