Daily News Articles from 95+ Major Bangladeshi Newspapers

Daily scraped news articles from over 95 major Bangladeshi newspapers, published in both English and Bangla languages. The dataset is hosted on Kaggle and is intended for text mining and natural language processing tasks. The author, organization, and specific temporal coverage are not provided in the input.

Use Cases

• Train text classification models based on news article content and source.
• Conduct sentiment analysis on public discourse based on daily news articles.
• Perform topic modeling to identify trends in Bangladeshi media based on the scraped article corpus.
• Build multilingual (English-Bangla) NLP pipelines based on the dual-language content.

Strengths

• Scraped from over 95 major news sources, suggesting broad media coverage.
• Includes content in both English and Bangla, enabling multilingual analysis.

Limitations

• Row count, file formats, and column-level documentation are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Kaggle

Collection Method

Daily web scraping from newspaper websites.

Time Range

Daily coverage, but specific start and end dates are unknown.

Freshness

Daily scraping implies frequent updates, but the last update date is unknown.

Geography

Bangladesh