DocumentCode
2921943
Title
Construction of topics and clusters in Topic Detection and Tracking tasks
Author
Mohd, Masnizah ; Crestani, Fabio ; Ruthven, Ian
Author_Institution
Fac. of Inf. Sci. & Technol., Univ. Kebangsaan Malaysia, Bangi, Malaysia
fYear
2011
fDate
28-29 June 2011
Firstpage
171
Lastpage
174
Abstract
This paper discussed the construction of topics to be tracked and clusters to be detected in Topic Detection and Tracking (TDT) tasks. Single Pass Clustering was used to cluster the news articles. As a result, the TDT tasks contained a combination of a good and poor clustering performance based on the F1-measure. Therefore, the selection of clusters and topics from the clustering experiment is important in the Tracking and the Detection tasks. It has contributed towards the user experimental design.
Keywords
document handling; information retrieval; pattern clustering; Fl-measure; single pass clustering; topic detection; topic tracking; Classification algorithms; Clustering algorithms; Event detection; Information retrieval; Monitoring; Text categorization; User interfaces; Single Pass Clustering; Topic Detection and Tracking; user tasks;
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.2011.5995784
Filename
5995784
Link To Document