Sinhala News Articles for Clustering Research

Sinhala news articles used for research on corpus-based similarity measures and clustering. It was created by NLPC-UOM for a 2018 academic paper and was last updated on the platform in October 2022.

Use Cases

• Apply corpus-based similarity measures to cluster Sinhala news articles as described in the original paper.
• Benchmark clustering algorithm performance on Sinhala language text data.
• Analyze the linguistic features of Sinhala news articles for natural language processing tasks.

Strengths

• Dataset is associated with a peer-reviewed academic paper published in 2018.
• The repository was last updated on the platform in October 2022.

Limitations

• The dataset size, number of articles, and specific features are unknown.
• The source code has a dependency on crawler4j, which is not included.

Provenance

Source

NLPC-UOM, authors of the 2018 MERCon conference paper.

Collection Method

Likely gathered via web crawling, as indicated by the dependency on crawler4j.

Time Range

null

Freshness

null

Geography

Articles are in Sinhala, indicating relevance to Sri Lanka.