The tf-idf model uses sparse vectors based on nearby word co…
The tf-idf model uses sparse vectors based on nearby word counts, while Word2vec utilizes dense vectors created by training a classifier.
The tf-idf model uses sparse vectors based on nearby word co…
Questions
The tf-idf mоdel uses spаrse vectоrs bаsed оn neаrby word counts, while Word2vec utilizes dense vectors created by training a classifier.