Comparison of SVM and Some Older Classification Algorithms in Text Classification Tasks
F. Colas, und P. Brazdil. Artificial Intelligence in Theory and Practice, (2006)
Zusammenfassung
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 SVM outperforms other classification algorithms.So should we just not bother about other classification algorithms and opt always for SVM ?
%0 Journal Article
%1 fabrice2006comparison
%A Colas, Fabrice
%A Brazdil, Pavel
%D 2006
%J Artificial Intelligence in Theory and Practice
%K AWM2010 SVM Text_classification weblogGoalExtraction
%P 169--178
%T Comparison of SVM and Some Older Classification Algorithms in Text Classification Tasks
%U http://dx.doi.org/10.1007/978-0-387-34747-9_18
%X 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 SVM outperforms other classification algorithms.So should we just not bother about other classification algorithms and opt always for SVM ?
@article{fabrice2006comparison,
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 SVM outperforms other classification algorithms.So should we just not bother about other classification algorithms and opt always for SVM ?},
added-at = {2010-07-27T20:15:52.000+0200},
author = {Colas, Fabrice and Brazdil, Pavel},
biburl = {https://www.bibsonomy.org/bibtex/235affa73743807655c84b4a9d6b61905/chris_o},
description = {SpringerLink Beta -},
interhash = {aaf46d0c38df075bdaf317dbffd853ea},
intrahash = {35affa73743807655c84b4a9d6b61905},
journal = {Artificial Intelligence in Theory and Practice},
keywords = {AWM2010 SVM Text_classification weblogGoalExtraction},
pages = {169--178},
timestamp = {2010-07-27T20:15:52.000+0200},
title = {Comparison of SVM and Some Older Classification Algorithms in Text Classification Tasks},
url = {http://dx.doi.org/10.1007/978-0-387-34747-9_18},
year = 2006
}