What is the Bag-of-Words (BoW) model in NLP?
a) A method for storing words in a bag
b) A model that represents text as a set of unique words without considering grammar or word order
c) A way to visualize word frequency
d) A technique for parsing sentences
Answer:
b) A model that represents text as a set of unique words without considering grammar or word order
Explanation:
The Bag-of-Words model treats text as a collection of words, disregarding word order and grammar, focusing solely on word frequency.
Reference:
Natural Language Processing (NLP) Quiz – MCQ Questions and Answers