An introduction to Support Vector Machines (SVM) MonkeyLearn Blog

You're refining your training set, and maybe you've even tried stuff out using Naive Bayes. But now you're feeling confident in your dataset, and want to take it one step further. Enter Support Vector Machines (SVM): a fast and dependable classification algorithm that performs very well with a limited amount of data. Perhaps you have dug a bit deeper, and ran into terms like linearly separable, kernel trick and kernel functions. The idea behind the SVM algorithm is simple, and applying it to natural language classification doesn't require most of the complicated stuff.