DocumentCode :
2902780
Title :
The Optimization of Network Text Filtering Model Based on the Hownet and Concept Expansion
Author :
Yu, Shiying ; Ming, Junren
Author_Institution :
Sch. of Inf. Manage., Wuhan Univ., Wuhan, China
fYear :
2011
fDate :
17-18 Oct. 2011
Firstpage :
1
Lastpage :
4
Abstract :
Network text filtering model can be based on the user´s own needs , and can effectively solve the problem of information lost through the filtering mechanism to actively select the needed information. This paper does an analysis on network information filtering model structure. It is mainly to design a text information filtering model based on Hownet´s semantic dictionary to solve the common problem of concept expression that restrict network text filtering model, and then focuses on the optimization process of the text information filtering model. At last, the model for the future development trend has been introduced with a view to clarify awareness of the model.
Keywords :
dictionaries; information filtering; optimisation; semantic networks; text analysis; Hownet semantic dictionary; information filtering; network text filtering model; optimisation; Analytical models; Computational modeling; Filtration; Information filtering; Semantics; Vectors; Hownet; concept expansion; model optimization; network text filtering; user profile;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Business Intelligence and Financial Engineering (BIFE), 2011 Fourth International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-1541-9
Type :
conf
DOI :
10.1109/BIFE.2011.136
Filename :
6121075
Link To Document :
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