Using unlabeled data mining to detect customer perceptions of undefined commodity problems
Volume: 27, Issue: 3, Pages: 209 - 209
Published: Jan 1, 2021
Abstract
Understanding how a customer perceives an undefined commodity problem is important for online retailers so that they can address problems and satisfy and gain customers. Data mining technological maturation and developments in online review systems means that it is now possible to mine for customer perceptions on commodity problems from structured and unstructured data. This research, therefore, mainly used an unsupervised machine learning,...
Paper Details
Title
Using unlabeled data mining to detect customer perceptions of undefined commodity problems
Published Date
Jan 1, 2021
Volume
27
Issue
3
Pages
209 - 209
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