Question 1

The document-term matrix obtained by a CountVectorizer on a large corpus is likely to have _______ columns than/as the document-features matrix obtained using pre-trained embeddings.

Group of answer choices

The same

More

Fewer

Question 2

When implementing a semantic search engine, training embeddings on our own data set generally leads to a better performance than using pre-trained embeddings.

Group of answer choices

True

False