Text Mining: Current Trends and Applications

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Author(s): Kijpokin Kasemsap (Suan Sunandha Rajabhat University, Thailand)
Copyright: 2017
Pages: 21
Source title: Web Data Mining and the Development of Knowledge-Based Decision Support Systems
Source Author(s)/Editor(s): G. Sreedhar (Rashtriya Sanskrit Vidyapeetha (Deemed University), India)
DOI: 10.4018/978-1-5225-1877-8.ch017

Keywords: Business & Management / Data Mining and Databases / Decision Support Systems / Information Science Reference

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Abstract

This chapter reveals the overview of text mining; text mining, patent analysis, and keyword selection; text mining and sentiment analysis in modern marketing; text mining applications in the biomedical sciences; and the multifaceted applications of text mining. Text mining is an advanced technology utilized in business, marketing, biomedical sciences, education, and operations. Text mining offers a solution to many problems, drawing on techniques concerning information retrieval, natural language processing, information extraction, and knowledge management. Through text mining, information can be extracted to derive summaries for the words contained in the documents. Text mining has the potential to increase the research base available to business and society and to enable business to utilize the research base more effectively. Economic and societal benefits of text mining include cost savings, productivity gains, innovative new service development, new business models, and new medical treatments.

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