DocumentCode :
2922095
Title :
Topic Detection and Tracking interface with named entities approach
Author :
Bashaddadh, Omar Mabrook A ; Mohd, Masnizah
Author_Institution :
Knowledge Technol. Res. Group, Univ. Kebangsaan Malaysia, Bangi, Malaysia
fYear :
2011
fDate :
28-29 June 2011
Firstpage :
215
Lastpage :
219
Abstract :
Topic Detection and Tracking (TDT) refer to the technologies and techniques in analysing and handling the vast amount of information arriving continuously from the news stream. Some issues in news monitoring regarding interface design are considered. In this paper we present the techniques and works done in TDT domain. We discuss the named entities approach used in document representation and in user interface. Finally, we present the suggested approach to improve users´ performance and to facilitate them to perform an effective TDT task.
Keywords :
data structures; document handling; information resources; tracking; user interfaces; TDT domain; document representation; named entitie approach; news monitoring; topic detection; tracking interface; user interface; Accidents; Data mining; Information retrieval; Nominations and elections; Research and development; User interfaces; Visualization; Bag of Words; Interface; Named Entity; Topic Detection and Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantic Technology and Information Retrieval (STAIR), 2011 International Conference on
Conference_Location :
Putrajaya
Print_ISBN :
978-1-61284-354-4
Electronic_ISBN :
978-1-61284-353-7
Type :
conf
DOI :
10.1109/STAIR.2011.5995791
Filename :
5995791
Link To Document :
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