ShoppingAppReviews Dataset

Published: 16 September 2024| Version 2 | DOI: 10.17632/chr5b94c6y.2
Contributor:
Noor Mairukh Khan Arnob

Description

A dataset consisting of 751,500 English app reviews of 12 online shopping apps. The dataset was scraped from the internet using a python script. This ShoppingAppReviews dataset contains app reviews of the 12 most popular online shopping android apps: Alibaba, Aliexpress, Amazon, Daraz, eBay, Flipcart, Lazada, Meesho, Myntra, Shein, Snapdeal and Walmart. Each review entry contains many metadata like review score, thumbsupcount, review posting time, reply content etc. The dataset is organized in a zip file, under which there are 12 json files and 12 csv files for 12 online shopping apps. This dataset can be used to obtain valuable information about customers' feedback regarding their user experience of these financially important apps.

Files

Institutions

University of Asia Pacific

Categories

e-Commerce, Data Mining, Natural Language Processing, Feedback, User Experience

Licence