StoreItAll is using the Bag of Words model to analyze customer feedback. This model considers the order in which words appear in the reviews.

Question

BlackTom AI · Accepted Answer

The statement presented asks whether a Bag of Words model considers the order of words in reviews.
Option 1: True. If we evaluate this option as a claim, we can point out that in standard Bag of Words (BoW) representations, text is typically converted into a vector of word frequencies or binary indicators, and the model does not preserve the sequence or grammar of the words. Therefore, treating BoW as order-aware would be incorrect.
Option 2: False. In BoW, the primary idea is to ignore word order and focus on which words appear and how often they appear in the document. This means two sentences with the same words in different orders would yield similar or identical representations, illustrating the order-insensitive nature of BoW. Of course, it’s worth noting that some extensions (like n-grams) incorporate limited local order by aggregating counts of word sequences of length n, but the classic BoW model itself does not track exact word order.
In summary, the standard BoW approach does not account for the precise order of words, aligning with the statement being false. If one were to use order information, it would typically require modifying the representation (e.g., using n-grams or other sequence-based models), which goes beyond the traditional BoW framework.

IS 4487-006 Fall 2025 Week 13 - Comprehension Quiz

StoreItAll is using the Bag of Words model to analyze customer feedback. This model considers the order in which words appear in the reviews.

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