I have a dataset from Stanford on Movie Reviews - Movie Review Dataset. It has both training data and testing data - all of them are text files in 2 folders - positive and negative.
How do I implement text classification using SVM algorithm on it? (Using a Python Library)
Check scikit-learn, it's a great machine learning framework. Have a look at Working With Text Data Classification of text documents using sparse features example, Feature extractions.
There is also NTLK, but it's not very powerful in ur case, check this thread for more details.
