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
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;
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
DOI :
10.1109/STAIR.2011.5995784
