Question: 47
(Choose 1 answer)
What is a drawback of count-based word embeddings like Term Frequency-Inverse Document Frequency
(TF-IDF)?
A. They are computationally expensive
B. They do not capture word context effectively
C. They cannot handle out-of-vocabulary words
D. They are not suitable for clustering tasks
