BanglaEcomReviewCorpus: A Resource for E-Commerce Product Review Sentiment Analysis
Published: 5 February 2025| Version 1 | DOI: 10.17632/kkzfrvhbhp.1
Contributors:
Umme Ayman ayman, , , Description
A dataset of 8,685 labeled items was gathered from popular websites like Daraz, Bikroy.com, and Picabbo to capture customer sentiments about online shopping experiences. The data was categorized into positive, negative, and neutral sentiments, reflecting real-world feedback. Annotated by expert reviewers and cross-checked by two more, the dataset is valuable for analyzing sentiment dynamics, exploring consumer behavior, and developing advanced natural language processing applications in the e-commerce sector, making it suitable for academic research and practical business use.
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Institutions
Daffodil International University
Categories
Artificial Intelligence, Data Science, Natural Language Processing, Machine Learning, Sentence Processing, Sentiment Analysis