A method that models word meaning from the words around it.
Words are like kids in a cafeteria. Sit at the same lunch table every day, and people guess your crowd.
Distributional semantics uses nearby words to guess meaning. It helps with word vectors and search in NLP.
Embedding
Distributional Semantics helped turn words into vector meanings.
Word2Vec
Word2Vec is one classic way to use Distributional Semantics.
Representation Learning
Distributional Semantics learns useful meaning patterns from text.
NLP
Distributional Semantics helps build text search and understanding.