Text Mining Approach for Product Quality Enhancement: (Improving Product Quality through Machine Learning)

Text mining, also referred to as text data mining, is the process of extracting interesting and non-trivial patterns or knowledge from text documents. It uses algorithms to transform free flow text (unstructured) into data that can be analyzed (structured) by applying Statistical, Machine Learning and Natural Language Processing (NLP) techniques. Text mining is an evolving technology that allows enterprises to understand their customers well, and help them in redefining customer needs. As e-commerce is becoming more and more established, the number of customer reviews and feedback that a product receives has grown rapidly over a period of time. For a popular asset, the number of review comments can be in thousands or even more. This makes it difficult for the manufacturer to read all of them to make an informed decision in improving product quality and support. Again it is difficult for the manufacturer to keep track and to manage all customer opinions. This article attempts to derive some meaningful information from asset reviews which will be used in enhancing asset features from engineering point of view and helps in improving the support quality and customer experience.