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Practical Text Analytics: Capturing, Sorting, Sifting, Stemming and Matching

Structured data allows for a great deal of interpretation and insight, but when so much unstructured data is available, through customer feedback, social media discussion and much more, a strong understanding of text analytics isn't just helpful, it's vital. Steven Struhl's Practical Text Analytics provides an indispensable reference for practitioners, weighing the strengths and weaknesses of different approaches to guide the reader to their best option.

In this free sample chapter of Practical Text Analytics, Struhl discusses how to prepare unstructured data for analysis, discusses various models of interpretation, and which analysis will work best on a case-by-case basis.

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