RevBangla: Bangla Product Sentiment Analysis Dataset

Published: 6 March 2024| Version 1 | DOI: 10.17632/bnbbcdsf4m.1


The Bangla Product Comments Dataset is a comprehensive collection of product reviews gathered from diverse ecommerce platforms in Bangladesh. This dataset offers a rich source of information reflecting customer opinions and sentiments towards various products available online. This dataset holds significant value for businesses, researchers, and data scientists interested in understanding consumer behavior, product perception, and sentiment analysis within the Bangladeshi ecommerce landscape. By leveraging this dataset, stakeholders can derive actionable insights to enhance product quality, marketing strategies, and overall customer satisfaction. Columns: 1. Product_ID: A unique identifier for each product, facilitating organization and referencing. 2. Date: The date when the comment was posted, providing temporal context for analysis. 3. Customer Name: The name or identifier of the customer who submitted the comment, ensuring traceability and potential user segmentation. 4. Rating: A numerical representation (typically on a scale of 1 to 5) reflecting the customer's overall satisfaction level with the product. 5. Label Sentiment: A categorical label assigned to each comment indicating the sentiment expressed by the customer (e.g., positive, negative). This classification facilitates sentiment analysis tasks. 6. Comment: The actual text of the customer's review or comment, conveying specific opinions, feedback, or experiences regarding the product.



Natural Language Processing, Bengali Language, Sentiment Analysis