SVM Multiclass text classification

I want to classfy News data set and training data are classified with IPTC subject code(Hierarchical classification). In my project I should use svm .

I have done all of feature extraction ,stemming,removing stop word ...

I almost have the file format required for svm multiclass :

which is like:

category  feature:value feature:value feature:value

I don't know how I should use svmmulticlass

I have also hearde about one -against-all ,I dont know what it is

please tell me whrere i can find some tutorial abo开发者_运维知识库ut it ,or how to use it

Regards

one -against-all, is a technique to train SVM's its in multi-label classification , for example u have "n" class label : so u create an "n" SVM and train each one on one class as +Ve label and all others as -Ve labels .

this is what one -against-all mean . u can visit this and use there Multi-Class SVM

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

You should probably start by reading A Practical Guide to Support Vector Classification

One against all is a method to convert an SVM (a natural method for 2-class classification) into multiclass classifier.