6. What is a significant limitation of traditional vectorizers, such as one-hot
encoding, count vectorizer, and TF-IDF, in representing text data?
They suffer from high dimensionality and low sparsity issues.
They fail to account for the frequency of word occurrences in a document.
O
They do not holistically capture the semantic meaning and contextual
relationships between words.
All of the above.
Fig: 1