DocumentCode :
503979
Title :
The Topic Similarity Computation Model Based Information Granularity
Author :
Liyong, Xu ; Yanrong, Dong ; Na, Xu ; Caiyan, Pei ; Liwei, Gu ; Yan, Kang
Author_Institution :
Hebei Normal Univ. of Sci. & Technol., Qinhuangdao, China
Volume :
2
fYear :
2009
fDate :
19-21 May 2009
Firstpage :
12
Lastpage :
15
Abstract :
Topic similarity computation model is a research hotspot in fields of information retrieval and text classification, etc. From the view of information granularity, this paper integrates traditional content topic identification with event topic identification, and presents a new topic similarity computation model, i.e., first carrying out content identification, secondly event identification. Finally, the model is evaluated by experiments.
Keywords :
information retrieval; text analysis; content topic identification; event topic identification; information granularity; information retrieval; text classification; topic similarity computation model; Computational modeling; Concept Space; Information Extraction; Information Granularity; TDT; Topic Identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, 2009. WCSE '09. WRI World Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3570-8
Type :
conf
DOI :
10.1109/WCSE.2009.21
Filename :
5319717
Link To Document :
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