This is a simple exercise about out of core opinion mining using hashing vectorizer and SGDclassifier. A vectorizer is used to claean the data and prepare the text according to its word counts. An SGDclassifier then is used to implement fast gradient decent optimization and classification.
The data is downloaded from: http://ai.stanford.edu/~amaas/data/sentiment/ ( ACL 2011 paper )