Let's discuss some published projects that have extracted useful, newsy information from big piles of text data — so you can use similar techniques. We'll walk you through real-world examples of every step of the process: gathering text data, dividing it into chunks the computer can understand, analyzing it with fancy or simple techniques and the challenges you'll face in analyzing, bulletproofing and presenting what you find. This session isn't quite a hands-on, but the panelists will discuss the tools, practical techniques and tricks they used to transform giant piles of text into publishable insights and reporting leads. These techniques are often called "natural language processing," but we're going to keep it practical: no obscure mathematical formulas, guaranteed!
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