Making Sense of Unstructured Data with Text Analytics

In case you hadn’t noticed, the amount of data in the world is increasing at an exponential rate. For example, every minute there are nearly 4.2 million posts uploaded to Facebook, nearly 3 million tweets, and thousands of responses to open-ended survey questions.

I’m often asked about all this unstructured data and how companies can make sense of it. The short answer: categorization using text analytics. Inevitably, the follow up question is, “What’s the best approach to implementing categorization using text analytics?”. In this post I’m going to dive deeper into these two questions and their answers.

Author: Brion Scheidel


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