title: How to split data (raw text) into test/train sets with scikit crossvalidation module?
body: <p>I have a large corpus of opinions (2500) in raw text. I would like to use scikit-learn library to split them into test/train sets. What could be the best aproach to solve this task with scikit-learn?. Could anybody provide me an example of spliting raw text in test/train sets (probably i´ll use tf-idf representation).</p>