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Information Retrieval is the
academic discipline which underlies computer-based text search
tools.It tends to concentrate on mathematical models and
algorithms for retrieval quality, but there is a great deal of
valuable research in the field.
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Text mining*, also known as
intelligent text analysis, text
data mining , unstructured data management, or
knowledge discovery in text (KDT), refers generally
to the process of extracting interesting and non-trivial
information and
knowledge (usually converted to
metadata elements) from unstructured text (i.e.
free text) stored in electronic form. This can be achieved
either through added markup in
XML,
Atom
or RDF
formats or though the analysis of common
phraseologies indicating certain relationships.
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Data mining (DM)*, also called
Knowledge-Discovery in Databases (KDD) or
Knowledge-Discovery and Data Mining, is the process of
automatically searching large volumes of
data
for patterns such as
association rules. It is a fairly recent topic in
computer science but applies many older computational
techniques from
statistics,
information retrieval,
machine learning and
pattern recognition.
- Topic detection and tracking (tdt).
* The information above is taken from
wikipedia
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