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    <p>In its classical flavour the Support Vector Machine (SVM) is a binary classifier (i.e., it solves classification problems involving two classes). However, it can be also used to solve multi-class classification problems by applying techniques likes One versus One, One Versus All or Error Correcting Output Codes <a href="http://machinelearning.wustl.edu/mlpapers/paper_files/AllweinSS00.pdf" rel="nofollow">[Alwein et al.]</a>. Also recently, a new modification of the classical SVM the multiclass-SVM allows to solve directly multi-class classification problems <a href="http://jmlr.org/papers/volume2/crammer01a/crammer01a.pdf" rel="nofollow">[Crammer et al.]</a>.</p> <p>Now as far as it concerns document classification, your main problem is feature extraction (i.e., how to acquire certain classification features from your documents). This is not a trivial task and there's a batch of bibliography on the topic (e.g., <a href="http://www.taibahu.edu.sa/iccit/allICCITpapers/pdf/p231-rehman.pdf" rel="nofollow">[Rehman et al.]</a>, <a href="http://acl.ldc.upenn.edu/H/H92/H92-1041.pdf" rel="nofollow">[Lewis]</a>).</p> <p>Once you've overcome the obstacle of feature extraction, and have labeled and placed your document samples in a feature space you can apply any classification algorithm like SVMs, AdaBoost e.t.c.</p> <p>Introductory books on machine learning: <a href="http://rads.stackoverflow.com/amzn/click/1107422221" rel="nofollow">[Flach]</a>, <a href="http://rads.stackoverflow.com/amzn/click/026201825X" rel="nofollow">[Mohri]</a>, <a href="http://rads.stackoverflow.com/amzn/click/026201243X" rel="nofollow">[Alpaydin]</a>, <a href="http://rads.stackoverflow.com/amzn/click/0387310738" rel="nofollow">[Bishop]</a>, <a href="http://rads.stackoverflow.com/amzn/click/0387848576" rel="nofollow">[Hastie]</a></p> <p>Books specific for SVMs: <a href="http://rads.stackoverflow.com/amzn/click/0262194759" rel="nofollow">[Schlkopf]</a>, <a href="http://rads.stackoverflow.com/amzn/click/0521780195" rel="nofollow">[Cristianini]</a></p> <p>Some specific bibliography on document classification and SVMs: <a href="http://rads.stackoverflow.com/amzn/click/012386979X" rel="nofollow">[Miner et al.]</a>, <a href="http://rads.stackoverflow.com/amzn/click/1420059408" rel="nofollow">[Srivastava et al.]</a>, <a href="http://rads.stackoverflow.com/amzn/click/1849962251" rel="nofollow">[Weiss et al.]</a>, <a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.106.8812&amp;rep=rep1&amp;type=pdf" rel="nofollow">[Pilászy]</a>, <a href="http://www.cs.cornell.edu/people/tj/publications/joachims_98a.pdf" rel="nofollow">[Joachims]</a>, <a href="http://www.cs.cornell.edu/people/tj/publications/joachims_01a.pdf" rel="nofollow">[Joachims01]</a>, <a href="http://www.cs.cornell.edu/people/tj/publications/joachims_97b.pdf" rel="nofollow">[Joachims97]</a>, <a href="http://aclweb.org/anthology//W/W03/W03-1027.pdf" rel="nofollow">[Sassano]</a></p>
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