Other Ml Jargons: Sparse And Dense Representations Of Texts For Machine Learning

Vectorization is an important concept in Natural Language Processing (NLP) and is used to represent text data as vectors. These vectors are then projected in an N-dimensional plane to capture similarities and patterns in the data. This helps Machine Learning algorithms to learn patterns and make predictions.