Colas, F. & Brazdil, P.
(2006):
On the Behavior of SVM and Some Older Algorithms in Binary Text Classification Tasks.
In: Text, Speech and Dialogue,
Erscheinungsjahr/Year: 2006.
Seiten/Pages: 45-52.
[Volltext] [Kurzfassung] [BibTeX]
[Endnote]
Document classification has already been widely studied. In fact, some studies compared feature selection techniques or feature
ace transformation whereas some others compared the performance of different algorithms. Recently, following the risinginterest towards the Support Vector Machine, various studies showed that the SVM outperforms other classification algorithms.So should we just not bother about other classification algorithms and opt always for SVM?
@article{colas2006behavior,
author = {Colas, Fabrice and Brazdil, Pavel},
title = {On the Behavior of SVM and Some Older Algorithms in Binary Text Classification Tasks},
journal = {Text, Speech and Dialogue},
year = {2006},
pages = {45--52},
url = {http://dx.doi.org/10.1007/11846406_6},
keywords = {classification, knn, nb, preprocessing, svm, text, tm, toread},
abstract = {Document classification has already been widely studied. In fact, some studies compared feature selection techniques or feature
space transformation whereas some others compared the performance of different algorithms. Recently, following the risinginterest towards the Support Vector Machine, various studies showed that the SVM outperforms other classification algorithms.So should we just not bother about other classification algorithms and opt always for SVM?}
}
%0 = article
%A = Colas, Fabrice and Brazdil, Pavel
%D = 2006
%T = On the Behavior of SVM and Some Older Algorithms in Binary Text Classification Tasks
%U = http://dx.doi.org/10.1007/11846406_6
Popescul, A.; Ungar, L. H.; Lawrence, S. & Pennock, D. M.
(2003):
Statistical Relational Learning for Document Mining..
In: ICDM,
[Volltext]
[BibTeX][Endnote]
@inproceedings{conf/icdm/PopesculULP03,
author = {Popescul, Alexandrin and Ungar, Lyle H. and Lawrence, Steve and Pennock, David M.},
title = {Statistical Relational Learning for Document Mining.},
booktitle = {ICDM},
publisher = {IEEE Computer Society},
year = {2003},
pages = {275-282},
url = {http://www.cis.upenn.edu/~popescul/Publications/popescul03dm.pdf},
isbn = {0-7695-1978-4},
keywords = {2003, classification, document, mining, srl, text, tm}
}
%0 = inproceedings
%A = Popescul, Alexandrin and Ungar, Lyle H. and Lawrence, Steve and Pennock, David M.
%B = ICDM
%D = 2003
%I = IEEE Computer Society
%T = Statistical Relational Learning for Document Mining.
%U = http://www.cis.upenn.edu/~popescul/Publications/popescul03dm.pdf
Sebastiani, F.
(2002):
Machine learning in automated text categorization.
In: ACM Computing Surveys,
Ausgabe/Number: 1,
Vol. 34,
Erscheinungsjahr/Year: 2002.
Seiten/Pages: 1-47.
[Volltext] [BibTeX]
[Endnote]
@article{Sebastiani02,
author = {Sebastiani, F.},
title = {Machine learning in automated text categorization},
journal = {ACM Computing Surveys},
year = {2002},
volume = {34},
number = {1},
pages = {1--47},
url = {http://faure.iei.pi.cnr.it/~fabrizio/Publications/ACMCS02.pdf},
keywords = {tm, text, survey, classification, categorization, ml}
}
%0 = article
%A = Sebastiani, F.
%D = 2002
%T = Machine learning in automated text categorization
%U = http://faure.iei.pi.cnr.it/~fabrizio/Publications/ACMCS02.pdf