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Event based classification of Web 2.0 text streams

URN to cite this document:
urn:nbn:de:bvb:355-epub-280896
DOI to cite this document:
10.5283/epub.28089
Bauer, Andreas ; Wolff, Christian
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Date of publication of this fulltext: 03 May 2013 05:15



Abstract

Web 2.0 applications like Twitter or Facebook create a continuous stream of information. This demands new ways of analysis in order to offer insight into this stream right at the moment of the creation of the information, because lots of this data is only relevant within a short period of time. To address this problem real time search engines have recently received increased attention. They take ...

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