stop-word removal. Stop-words are simply those words that are extremely common in all sorts of texts and probably bear no (or only little) useful information that can be used to distinguish between different classes of documents. Examples of stop-words are is, and, has, and like. Removing stop-words can be useful if we are working with raw or normalized term frequencies rather than tf-idfs, which are already downweighting frequently occurring words.
