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Text analytics uses linguistic rules and statistical methods to automatically assess, analyze and act on the insight buried in electronic text – such as content from social media, call center logs, survey data, emails, loan applications, service notes, and insurance or warranty claims. This paper summarizes a webinar in the Applying Business Analytics Webinar Series where presenters described text analytics tools and process – and shared their experiences using text analytics in four real-world cases in government, public policy, insurance and media.
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