Study
NLP · word2vec
Dense word vectors learned by predicting context (skip-gram), trained with gensim on the 20 Newsgroups corpus, with nearest neighbours.
- word2vec learns a vector for each word by training it to predict the words around it.
- Words used in similar contexts end up close together.