DocumentCode :
2000803
Title :
A survey of cross-domain text categorization techniques
Author :
Murty, M. Ramakrishna ; Murthy, J.V.R. ; Prasad Reddy, P.V.G.D. ; Satapathy, S.C.
Author_Institution :
Dept. of CSE, GMRIT, Rajam, India
fYear :
2012
fDate :
15-17 March 2012
Firstpage :
499
Lastpage :
504
Abstract :
Text Mining is important, emerging, research area, because plenty of text resources growing rapidly through the internet and digital world. In the text data analysis text categorization is one of the vital techniques. Traditional text categorization methods are not able to handle well with learning across different domains. Cross-domain classification is more challenging problem than single domain classification problem. In this paper survey of cross-domain text categorization techniques have been presented.
Keywords :
data mining; text analysis; Internet; cross-domain classification; cross-domain text categorization; digital world; text data analysis; text mining; text resources; Blogs; Classification algorithms; Computers; Equations; Mathematical model; Training; Cross-domain; Text Document; categorization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Recent Advances in Information Technology (RAIT), 2012 1st International Conference on
Conference_Location :
Dhanbad
Print_ISBN :
978-1-4577-0694-3
Type :
conf
DOI :
10.1109/RAIT.2012.6194629
Filename :
6194629
Link To Document :
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