BlackFriday 2024! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

Huawei Exam H13-321 Topic 1 Question 84 Discussion

Actual exam question for Huawei's H13-321 exam
Question #: 84
Topic #: 1
[All H13-321 Questions]

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.

Show Suggested Answer Hide Answer
Suggested Answer: C

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

Limited Time Offer

25%

Off

Get Premium H13-321 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Torie
4 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.
upvoted 0 times
...
Naomi
5 months ago
I agree with user 3, option A) Based on the distribution assumption does not align with the bag of words model.
upvoted 0 times
...
Virgie
5 months ago
I believe option A) Based on the distribution assumption is not part of the bag of words model.
upvoted 0 times
...
Sharee
5 months ago
I disagree, option B) There is a semantic gap is actually a characteristic of the bag of words model.
upvoted 0 times
...
Torie
5 months ago
I think option B) There is a semantic gap is not the bag of words model.
upvoted 0 times
...
Franchesca
5 months ago
Yes, but it's actually option D) Order information cannot be retained that is not characteristic of the bag of words model.
upvoted 0 times
...
Nickole
5 months ago
But doesn't the bag of words model suffer from dimensional disaster?
upvoted 0 times
...
Kattie
5 months ago
I'm leaning towards option C) Dimensional disaster not being the bag of words model.
upvoted 0 times
...
Franchesca
5 months ago
I disagree, I believe option B) There is a semantic gap is not the bag of words model.
upvoted 0 times
...
Nickole
6 months ago
I think option A) Based on the distribution assumption is not the bag of words model.
upvoted 0 times
...
Ozell
7 months ago
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.
upvoted 0 times
...
Temeka
7 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.
upvoted 0 times
...
Beatriz
7 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!
upvoted 0 times
...
Trina
7 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.
upvoted 0 times
...
Moira
7 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.
upvoted 0 times
Lorrie
6 months ago
Then option B, There is a semantic gap, is not the bag of words model.
upvoted 0 times
...
Louisa
6 months ago
I agree, the bag-of-words model doesn't consider semantics.
upvoted 0 times
...
Jordan
6 months ago
I think option B is correct.
upvoted 0 times
...
...
Leana
7 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.
upvoted 0 times
...

Save Cancel