July 23, 2006

Autonomy on text mining

I asked Mike Lynch (Autonomy CEO) about text mining. He responded with an example:

A very well-known company “mines” its incoming emails for signs of trouble, not via any linguistics-driven approach, but just by clustering them. If a cluster changes size anomalously over time, it bears close investigation.


One Response to “Autonomy on text mining”

  1. Text Technologies»Blog Archive » Application processes in text mining – finding warning signs on July 27th, 2006 5:37 am

    […] 3. In other cases, one is looking for trouble even before one has found some. Compliance often falls into this category, as does web-crawling reputation management. One process, favored by Autonomy, is simply to monitor document flow for all important themes, and hope that the trouble signs jump out at you. Alternatively, one can monitor documents for known bad event flags – vehicle malfunctions, drug side effects, angry customers, whatever. If there are only a few documents with such flags, one can read them directly If there are too many for humans to just read and digest in a timely manner – well, then you’ve transitioned into Case 1 or Case 2! • • • […]

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