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