Research_data_frontier
Published: 9 June 2023| Version 1 | DOI: 10.17632/pg3s4hw68k.1
Contributors:
Nadhif Girawan, Andry AlamsyahDescription
This dataset comprises a comprehensive collection of reviews pertaining to clothing products and serves as a valuable resource for multilabel classification research. Each data entry is meticulously annotated with relevant labels, allowing researchers to explore various dimensions of the clothing products being reviewed. The dataset offers a rich diversity of perspectives and opinions, enabling the development and evaluation of robust classification models that can accurately predict multiple aspects of a given clothing item. With its focus on multilabel classification, this data contributes significantly to advancing the understanding and application of machine learning algorithms in the fashion industry.
Files
Institutions
- Telkom University
Categories
Clothing Industry