Vectors, Vectors In Space, NLP, Euclidean.
learning. But common sense suggests that it might be learning dimensions such as “royalty”, “masculinity”, etc. This is an example of “sense” word embeddings as learnt by models such as word2vec. These vectors are termed dense vectors as opposed to sparse vectors which are used to one hot encode