Word similarity refers to the computational assessment of how alike two words are in meaning or usage, often using models that analyze semantic relationships based on context or vector representations. This concept is crucial in natural language processing tasks such as information retrieval, sentiment analysis, and machine translation, as it helps machines understand and process human language more effectively.