An effective spam filter based on a combined support vector machine approach

Predicting Product Review Helpfulness Using Machine Learning and Specialized Classification Models

“…Note that our global dictionary now contains words that have self-contained meanings more closely identifiable with the two classes as opposed to less meaningful words like "the", "and", and "were". Also note that, while "and" was not common amongst both documents, it was still removed as it is common enough to warrant membership of our stop word list [1].…”