Text data mining
Origin: Lat. textus, datum, Celt, *bhudh-skō
The process of extracting interesting and non-trivial information and knowledge (usually converted to metadata elements) from unstructured text (i.e. free text). Text mining is an interdisciplinary field which draws on information retrieval, data mining, machine learning, statistics and computational linguistics. As most information (over 80%) is stored as text, text mining is believed to have a high commercial potential value. Recently, text mining is receiving much attention from several research groups around the world.
Spanish: Búsqueda de datos de texto
Sources and references
- Porter, Alan. “Text Mining for technology” , Futures Research Methodology V.3 The Millennium Projectcited 3 times
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