Indian News Articles with Author and Publication Date Metadata

Indian-News-Articles is a collection of news content created due to a lack of available Indian news data on Kaggle. The dataset includes article text along with metadata such as author, link, and publish date, scraped from firstpost.com using Python and BeautifulSoup. The license is Database: Open Database, Contents: Original Authors.

Use Cases

• Analyze news trends and topics based on article text and publication dates.
• Study author attribution and writing styles based on the author metadata.
• Perform web scraping or data collection research based on the described creation method.
• Build text classification models for Indian news articles based on the textual content.

Strengths

• Includes metadata fields such as author, link, and publish date for each article.
• Created to address a specific gap in available Indian news data on a major platform.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

firstpost.com

Collection Method

Web scraping using Python and BeautifulSoup library.

Geography

India