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Exam AWS Certified Machine Learning - Specialty topic 1 question 182 discussion

Exam question from Amazon's AWS Certified Machine Learning - Specialty
Question #: 182
Topic #: 1
[All AWS Certified Machine Learning - Specialty Questions]

A data scientist is reviewing customer comments about a company's products. The data scientist needs to present an initial exploratory analysis by using charts and a word cloud. The data scientist must use feature engineering techniques to prepare this analysis before starting a natural language processing (NLP) model.
Which combination of feature engineering techniques should the data scientist use to meet these requirements? (Choose two.)

  • A. Named entity recognition
  • B. Coreference
  • C. Stemming
  • D. Term frequency-inverse document frequency (TF-IDF)
  • E. Sentiment analysis
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Suggested Answer: CD 🗳️
by ckkobe24 at May 2, 2022, 3:45 a.m.
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DJiang
Highly Voted 2 years, 11 months ago
Selected Answer: CD
Sentiment analysis is the result of analysis, not feature engineering. I think this answer should be C & D.
upvoted 12 times
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hk0308
Most Recent 4 months, 3 weeks ago
Selected Answer: C
D is also wrong. For creating a word cloud, the frequency of words (not their inverse frequency, as used in TF-IDF) is typically the most appropriate metric. Word clouds are designed to visually represent how often a word appears in the text, with more frequent words appearing larger and more prominent.
upvoted 1 times
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loict
1 year, 7 months ago
Selected Answer: CD
A. NO - it is categorization of words and thus inferencing, not pre-processing B. NO - Coreferencing (eg. linking "He" to "Mark" seen in a previous sentence) is a complex task, not pre-processing C. YES - it consists of reducing words to their base form to reduce dimensionality D. YES - fast pre-processing task E. NO - it is not feature engineering, it is training
upvoted 3 times
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Mickey321
1 year, 8 months ago
Selected Answer: CD
C and D for me
upvoted 1 times
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ADVIT
1 year, 9 months ago
Selected Answer: CD
C for merge similar words D for remove not important words like "the, is, a"
upvoted 1 times
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Shailendraa
2 years, 7 months ago
12-sep exam
upvoted 2 times
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Ob1KN0B
2 years, 8 months ago
Selected Answer: DE
https://towardsdatascience.com/text-analysis-feature-engineering-with-nlp-502d6ea9225d Sentiment analysis IS a part of feature engg in NLP.
upvoted 2 times
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matteocal
2 years, 9 months ago
Selected Answer: CD
sentiment analysis is not part of feature engineering
upvoted 2 times
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Morsa
2 years, 9 months ago
Selected Answer: CD
I agree ABE are not feature engineering
upvoted 3 times
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edvardo
2 years, 11 months ago
Selected Answer: CD
A, B, E are not feature engineering
upvoted 4 times
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ckkobe24
2 years, 12 months ago
Selected Answer: CD
why not C & D
upvoted 4 times
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C (25%)
B (20%)
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