(c) Natural Language Processing (NLP)
Bag of Words is a Natural Language Processing (NLP) model which helps in extracting features out of the text which can be helpful in machine learning algorithms.
The source passage (Chapter 6) lists "Bag of Words" as a key concept under the NLP chapter, and the Test Yourself section (Q6) confirms its purpose is "to extract features from text for machine learning algorithms." Students must remember BoW is an NLP concept, not DS, VR, or CV.