Abstract
This article takes a look at the many ways organizations are benefiting from text analytics and tries to clarify the language surrounding the process of turning text into data. Real life examples gathered from interviews and desk research illustrate how important text has become to understanding what is happening inside organizations. Increasingly, text and data are being used together to identify and solve business problems. This article provides an overview of the technologies behind analyzing text, practical applications of the field, and a guide to language used to describe the processes to conduct and use text analytics.
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