Dataset: Ecommerce Text Classification

About this Dataset

Ecommerce Text Classification

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

Gautam. (2019). E commerce text dataset (version - 2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3355823

Tables

Ecommercedataset

@kaggle.saurabhshahane_ecommerce_text_classification.ecommercedataset

13.47 MB
50424 rows
2 columns


CREATE TABLE ecommercedataset (
  "household" VARCHAR,
  "paper_plane_design_framed_wall_hanging_motivational_of_564acec0" VARCHAR
);