Word2vec

Feature Representation#

The Feature representation is created by the pre-trained model

Word2Vec has the following properties:

1. Limited Dimensions - Every word can be represented by a vector within a limited dimension
2. Sparsity is reduced
3. Semantic meaning is captured - Word vectors capture the semantic meaning between them