Over 11,500 Bangla News For NLP
This dataset, which contains over 11,500 news, is designed for machine learning
@kaggle.durjoychandrapaul_over_11500_bangla_news_for_nlp
This dataset, which contains over 11,500 news, is designed for machine learning
@kaggle.durjoychandrapaul_over_11500_bangla_news_for_nlp
The Bangla News Classification dataset is a large collection of text articles in the Bengali (Bangla) language from the Jamuna TV website. This dataset, which contains over 11,000 rows, is designed for machine learning and natural language processing (NLP) tasks.
Key Features:
Text Articles: A wide variety of news articles, including those on events, updates, and diverse topics.
Categories: Articles are organized into five main categories:
Metadata: Each article includes:
Language: The dataset is entirely in Bengali, focusing on NLP tasks specific to this language.
Applications:
Usage:
Availability:
Conclusion:
The Bangla News Classification dataset from Jamuna TV is a valuable resource for advancing research and applications in NLP for the Bengali language. It helps improve text classification, sentiment analysis, and the understanding of linguistic nuances in Bangladeshi media.
File format: csv
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