Version version - 2

E commerce text dataset

, Gautam

Description

This is the classification based E-commerce text dataset for 4 categories - "Electronics", "Household", "Books" and "Clothing & Accessories", which almost cover 80% of any E-commerce website. The dataset is in ".csv" format with two columns - the first column is the class name and the second one is the datapoint of that class. The data point is the product and description from the e-commerce website. The dataset has the following features : Data Set Characteristics: Multivariate Number of Instances: 50425 Number of classes: 4 Area: Computer science Attribute Characteristics: Real Number of Attributes: 1 Associated Tasks: Classification Missing Values? No The dataset has been scraped from Indian e-commerce platform.

Citations (0)

Mentions (0)

Metrics

Dataset Index

1.1

FAIR Score

77%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

Open Access

Assigned Domain

Subfield

Marketing

Field

Business, Management and Accounting

Domain

Social Sciences

Confidence Score

69%

Source

Open Alex

Keywords

E commerce datasettext classificationmachine learning

Normalization Factors

FT

43.27

CTw

1.00

MTw

1.00