This work is a continuation of that initiated in ( Yahyaoui , 2001 ) , which reports an overall NB classification correctness of 75.6 % , in cross validation experiments , on a data set that consists of 100 documents for each of 12 categories ( the data set is collected from different Arabic portals ) .
toward an arabic web page classifierquot master project
M Yahyaoui
The aim of this work is to gain some insight as to whether Arabic document categorization ( using NB ) is sensitive to the root extraction algorithm used or to different data sets . This work is a continuation of that initiated in ( Yahyaoui , 2001 ) , which reports an overall NB classification correctness of 75.6 % , in cross validation experiments , on a data set that consists of 100 documents for each of 12 categories ( the data set is collected from different Arabic portals ) . A 50 % overall classification accuracy is also reported when testing with a separately collected evaluation set ( 3 documents for each of the 12 categories ) .
This work is a continuation of that initiated in ( @@CITATION ) , which reports an overall NB classification correctness of 75.6 % , in cross validation experiments , on a data set that consists of 100 documents for each of 12 categories ( the data set is collected from different Arabic portals ) .