Almost all of the examples are based on numbers. In text documents i have words instead of numbers.
So can you show me simple examples of how to use these algorithms for text documents classification.
I don't need code example but just logic
Pseudocode would help greatly
The common approach is to use a bag of words model (http://en.wikipedia.org/wiki/Bag_of_words_model) where the classifier would learn the presence of words in a text, it is simple but works surprisingly well.
Also, here there is a similar question: Prepare data for text classification using Scikit Learn SVM