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Spotting trouble via text mining

Text mining is perhaps a $100 million industry (maybe a little less only counting software license fees, but certainly a bunch more if one counts more liberally).  A large fraction of that business, and of its applications, can be grouped under one umbrella — spotting signs of trouble.  For example (and this is not even a complete list), text mining has been used in:      * Vehicle safety     * Other manufacturing/warranty analysis apps     * Reputation management (for the most part)     * Other customer sentiment apps (some, perhaps most)     * Anti-terrorism     * Sarbanes-Oxley compliance     * Antifraud     * Stopping money laundering     * Clinical applications (some)     * Early insurance risk management apps     * Early experimental hedge fund apps  If there’s one area to look at for introducing text mining to your enterprise, it’s this one.  At the link above, I went into a little detail about how it’s actually done.
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