In contrast, word clustering groups together different but semantically similar words that pertain to a specific sense (e.g., money, loan, and finance for the financial sense of bank).
word clustering based on co-occurrence graphs posits that senses of a polysemous word correspond to strongly interconnected components of its co-occurring words.