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metadata
license: mit
datasets:
  - anilguven/turkish_news_dataset
language:
  - tr
metrics:
  - accuracy
  - f1
tags:
  - electra
  - news
  - classification
  - text

Information

This model was developed/finetuned for news classification task for the Turkish Language. This model was finetuned via news dataset. This dataset contains 7 classes: economy, magazine, sport, politics, technology, health, and events.

  • LABEL_0: economy
  • LABEL_1: magazine
  • LABEL_2: health
  • LABEL_3: politics
  • LABEL_4: sports
  • LABEL_5: technology
  • LABEL_6: events

Model Sources

Preprocessing

You must apply removing stopwords, stemming, or lemmatization process for Turkish.

Results

  • Accuracy: %97.619
  • F1-score: %97.617

Citation

BibTeX: Peer review process