MONOBHAV: A Large-Scale Bengali Dataset for Fine-Grained Sentiment Analysis
Published: 26 January 2026| Version 2 | DOI: 10.17632/968kvv98m4.2
Contributors:
, , , Description
MONOBHAV is a Bengali dataset for fine-grained sentiment analysis. It contains 10,000 Bengali texts collected from social media platforms and newspaper websites. Each text is manually annotated by native Bengali speakers into five sentiment classes - Strongly Negative, Negative, Neutral, Positive, and Strongly Positive. This dataset enhances the resources available for Bengali sentiment analysis and supports the development and evaluation of more accurate sentiment models for the language.
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Institutions
Ahsanullah University of Science and Technology
Categories
Natural Language Processing, Bengali Language, Sentiment Analysis