Unformatted text preview: Further major applications of text mining methods consider the detection of
topics in text streams and text summarization.
Topic detection studies the problem of detecting new and upcoming topics
in time-ordered document collections. The methods are frequently used in
order to detect and monitor (topic tracking) news tickers or news broadcasts. An
introduction and overview of current approaches can be found in Allan (2002).
Text summarization aims at the creation of a condensed version of a document
or a document collection (multidocument summarization) that should contain
its most important topics. Most approaches still focus on the idea to extract
individual informative sentences from a text. The summary consists then simply
of a collection of these sentences. However, recently reﬁned approaches try
to extract semantic information from documents and create summaries based
on this information (cf. Leskovec et al. (2004)). For an overview see Mani &
Maybury (1999) and Radev et al. (2002).
4 Applications In this section...
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