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Five Pillars of Text Analytics.mp4
8.41MB
Dr. Stu Shulman, founder and CEO of Texifter, explains how the five pillars of text analytics make it possible to clean social data using DiscoverText by removing irrelevant or ambiguous items. Search, filter, human code, cluster, and machine classify social data. In this example, Twitter data about "Christie" is used to illustrate the five most important techniques.
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