Arabic Customers Reviews in the Fashion retail industry

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Authors: Meryem Chajia, soufiane ouali, El Habib Nfaoui
Cited by: 0

Abstract

Our dataset contains 10,000 customer reviews in the fashion retail domain. It is a tabular dataset composed of three columns: the first column contains the customer review text, the second column contains the rating, and the third column contains the product category. The dataset provides customer feedback related to the purchase of clothing items in the fashion retail sector. The 10,000 reviews were collected from different e-commerce websites that sell clothing, such as Amazon, Shein, and other platforms. The reviews were then combined into a single dataset for research purposes. This dataset is intended for researchers and data scientists. It can be used for sentiment analysis, product churn analysis, and customer satisfaction studies. It can also be used to analyze the correlation between product reviews and ratings in order to identify the factors that are most important to customers.

Fields of Study & Subjects

Sentiment Analysis and Opinion Mining Digital Marketing and Social Media Customer Service Quality and Loyalty

Publication details

Journal / source
Mendeley Data
Publication date
3 March 2026
Language
EN
Document type
Dataset