Question

Bag of Words is a ___ model which helps in extracting features out of the text which can be helpful in machine learning algorithms.

• A. Data Science (DS)
• B. Virtual Reality (VR)
• C. Natural Language Processing (NLP)
• D. Computer Vision (CV)

Hint:

BoW is a text representation model used in NLP, focusing on word frequency and ignoring the order of words.

Answer 1

The Correct Option is C

The Bag of Words (BoW) model is a representation used in Natural Language Processing (NLP) to extract features from text. It represents text data in the form of a ”bag” of words, ignoring grammar and word order but keeping track of the frequency of words. This model is useful for text classification tasks, where each document is represented as a vector of word counts. NLP algorithms such as spam detection and sentiment analysis often use BoW for feature extraction.