Turkish News Articles for Text Classification

Aggregating Turkish news articles for text classification tasks. It was created by kodiks for a tutorial on Turkish NLP and was last updated in January 2022.

Use Cases

• Train a text classifier using Huggingface models to categorize Turkish news articles.
• Apply an SVM classifier with TF-IDF vectorizer for Turkish news classification.
• Benchmark Natural Language Processing models on Turkish text data.

Strengths

• Designed for Turkish NLP, a specific language domain.
• Associated with a tutorial for practical application.
• Last updated on a specific date: 2022-01-21.

Limitations

• Unknown dataset size, row count, and column structure.
• No sample data or file format information is provided.
• Data may be stale as the last update was over two years ago.

Provenance

Source

github user kodiks

Collection Method

Created for a tutorial; specific collection method unknown.

Freshness

Last updated 2022-01-21.

Geography

Turkey (implied by language focus)