#4855. Evaluation of consumer reviews for adidas sports brands using data mining tools and twitter APIs

August 2026publication date
Proposal available till 29-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Business, Management and Accounting (miscellaneous);
Strategy and Management;
Tourism, Leisure and Hospitality Management;
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More details about the manuscript: Science Citation Index Expanded or/and Social Sciences Citation Index
Abstract:
The sportswear industry has become prominent, popular, and a very obvious category among various age groups. Big sports brands like adidas, seeing the market potential, have extended their businesses. To increase sales, online purchase has become one the most effective, easy, cheap, and quickest solution for the end customers as it provides the end consumers a variety of products, their designs, and color combinations on clicks. A large number of consumers express what exactly the end customer thinks about a particular products preference level of brand, quality of service, quality of product, or stylish nature of the product. The current study does an evaluation of such online comments and reviews giving their feedback on their public Twitter accounts, flipkart.com, or amazon.in about an adidas sports brand. The research also provides a basic flow of Java program in the form of an algorithm that is used to collect the dataset from Twitter, process it, and export it into an Excel sheet for further investigation.
Keywords:
Adidas; Java; Sports brand; Text mining; Twitter

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