Made up of large-scale Korean news articles categorized into sections such as politics, economy, and society. It includes structured fields for headlines, publication dates, and the full text of articles scraped from the Naver portal.
Use Cases
- Perform sentiment analysis on Korean media using the article body text
- Classify news content into thematic groups based on category labels
- Analyze media trends over time using the publication date field
Strengths
- Supports extraction of articles across categories like Politics, Economy, and Society
- Captures article metadata including headlines and publication timestamps
- Enables large-scale collection of Korean-language text for NLP training