SVM Multiclass text classification -

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i want classfy news data set , training data classified iptc subject code(hierarchical classification). in project should use svm .

i have done of feature extraction ,stemming,removing stop word ...

i have file format required svm multiclass :

which like:

category  feature:value feature:value feature:value

i don't know how should use svmmulticlass

i have hearde 1 -against-all ,i dont know is

please tell me whrere can find tutorial ,or how use it

regards

one -against-all, technique train svm's in multi-label classification , example u have "n" class label : u create "n" svm , train each 1 on 1 class +ve label , others -ve labels .

this 1 -against-all mean . u can visit , use there multi-class svm

http://svmlight.joachims.org/svm_multiclass.html


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