Similarity measures for [[word embeddings]] include - [[Euclidean distance]] - [[cosine similarity]] In natural language processing, the [[cosine similarity]] is often computed on transformed frequencies. Transformations include - [[Term Frequency - Inverse Document Frequency]] - [[positive pointwise mutual information]]