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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2016
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/30452/ |