Huawei Exam H13-321 Topic 1 Question 84 Discussion

Actual exam question for Huawei's H13-321 exam

Question #: 84
Topic #: 1

The bag-of-words model is the earliest text vectorization method with words as the basic processing unit. Which of the following options is not the bag of words model.

ABased on the distribution assumption

BThere is a semantic gap

CDimensional disaster

DOrder information cannot be retained

Show Suggested Answer

Suggested Answer: C

by Becky at Apr 10, 2024, 07:16 PM

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Torie

3 months ago

Hmm, that makes sense. I can see how option A) makes more sense as not being part of the bag of words model.

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Naomi

3 months ago

I agree with user 3, option A) Based on the distribution assumption does not align with the bag of words model.

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Virgie

3 months ago

I believe option A) Based on the distribution assumption is not part of the bag of words model.

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Sharee

4 months ago

I disagree, option B) There is a semantic gap is actually a characteristic of the bag of words model.

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Torie

4 months ago

I think option B) There is a semantic gap is not the bag of words model.

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Franchesca

4 months ago

Yes, but it's actually option D) Order information cannot be retained that is not characteristic of the bag of words model.

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Nickole

4 months ago

But doesn't the bag of words model suffer from dimensional disaster?

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Kattie

4 months ago

I'm leaning towards option C) Dimensional disaster not being the bag of words model.

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Franchesca

4 months ago

I disagree, I believe option B) There is a semantic gap is not the bag of words model.

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Nickole

5 months ago

I think option A) Based on the distribution assumption is not the bag of words model.

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You know, I'm starting to think option D, 'order information cannot be retained', might also be a valid answer. The bag-of-words model completely ignores the order of words, which can be important for understanding context and meaning. That seems like a pretty significant shortcoming to me.

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Temeka

6 months ago

Haha, 'dimensional disaster'? What a great term! I'm definitely going to remember that one. But yeah, I think I'm leaning towards option B as the answer. The bag-of-words model is all about surface-level word frequencies, so the semantic gap is a pretty fundamental limitation.

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Beatriz

6 months ago

Ooh, good point, Trina. The 'dimensional disaster' is a well-known issue with the bag-of-words model. Though I suppose you could argue that the lack of semantic awareness (option B) is also a pretty big limitation. Tough choice!

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Trina

6 months ago

Hmm, I'm not so sure. Option C, 'dimensional disaster', could also be a valid answer. The bag-of-words model can create really high-dimensional feature vectors, which can be computationally expensive and lead to overfitting. That seems like a more relevant drawback to me.

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Moira

6 months ago

Yeah, I agree with Leana. The bag-of-words model is all about counting word frequencies without any consideration for meaning or context. So option B definitely doesn't apply. I'm leaning towards that as the answer.

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Lorrie

4 months ago

Then option B, There is a semantic gap, is not the bag of words model.

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Louisa

4 months ago

I agree, the bag-of-words model doesn't consider semantics.

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Jordan

5 months ago

I think option B is correct.

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Leana

6 months ago

The bag-of-words model is a pretty basic text vectorization technique, so I'm not surprised it's on the exam. I think option B, 'there is a semantic gap', is not a characteristic of the bag-of-words model. The bag-of-words model doesn't really capture semantic relationships between words, so there's no semantic gap to worry about.

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Huawei Exam H13-321 Topic 1 Question 84 Discussion

Contribute your Thoughts:

Torie

Naomi

Virgie

Sharee

Torie

Franchesca

Nickole

Kattie

Franchesca

Nickole

Ozell

Temeka

Beatriz

Trina

Moira

Lorrie

Louisa

Jordan

Leana