Improving claim analytics through text mining

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By Philip S. Borba | 30 May 2013
Text mining provides a means of extracting new information from unstructured data. Milliman’s Phil Borba uses text mining to examine accident descriptions and can thereby identify instances of distracted driving—including cell phone use, radio use, and other distractions—that might not otherwise be visible. This is but one example of how text mining can extract hidden meaning that was not previously available to property and casualty insurers.