This dataset aggregates news articles from major media outlets in the Democratic Republic of Congo, organized into thematic categories such as politics and economy. It provides a structured corpus designed for the automated collection and intelligent curation of regional news stories.
Use Cases
- Train a multi-class classifier to label articles into categories like politics or economy using the article text.
- Develop named-entity recognition (NER) models to identify Congolese political figures and locations within the news body.
- Implement automated news summarization for regional media outlets using the structured article content.
- Conduct longitudinal studies on Congolese media trends using the historical news corpus.
Strengths
- Aggregates content from major Congolese media outlets.
- Categorized into domains including politics and economy.
- Includes a GitHub-hosted processing pipeline (drc-news-corpus) for data scalability.
- Provides a structured format suitable for automated news curation and intelligent systems.