In my previous column (see the February 2004 issue of DM Review), we looked at the high-level aspects of a text mining project. This month, we'll turn our attention to assessing text mining tools available for the job.

The growing need for text analysis is leading to a proliferation in tools. Choosing among them does not need to be as difficult as it might initially look. Some key considerations to keep in mind in are: extract, transform and load (ETL) capabilities; language requirements; preprocessing; interactive tools; and scalability.

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