An improved system for sentence-level novelty detection in textual streams

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An improved system for sentence-level novelty detection in textual streams

Novelty detection in news events has long been a difficult problem. A number of models performed well on specific data streams but certain issues are far from being solved, particularly in large data streams from the WWW where unpredictability of new terms requires adaptation in the vector space mod...

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Bibliographic Details
Main Authors:	Fu, Xinyu, Ch'ng, Eugene, Aickelin, Uwe
Format:	Conference or Workshop Item
Published:	2016
Subjects:	first story detection novelty detection Locality Sensitive Hashing text mining
Online Access:	https://eprints.nottingham.ac.uk/30452/

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