Question:
Bag of Words is a ___ model which helps in extracting features out of the text which can be helpful in machine learning algorithms.
Bag of Words is a ___ model which helps in extracting features out of the text which can be helpful in machine learning algorithms.
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BoW is a text representation model used in NLP, focusing on word frequency and ignoring the order of words.
Updated On: Jan 13, 2026
- Data Science (DS)
- Virtual Reality (VR)
- Natural Language Processing (NLP)
- Computer Vision (CV)
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The Correct Option is C
Solution and Explanation
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.
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