AWS Certified Machine Learning Engineer Associate · Free Practice Question Medium
Question 14
A data analyst wants to extract meaningful insights from unstructured customer feedback stored in Amazon S3. The insights should include key entities like people, organizations, and locations mentioned in the feedback, as well as the overall sentiment of the feedback. Which combination of Amazon Comprehend features should the analyst use to achieve this goal?
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A
Entity Recognition and Sentiment Analysis
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B
Topic Modeling and Keyphrase Extraction
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C
Keyphrase Extraction and Topic Modeling
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D
Text Classification and Entity Recognition
Reveal correct answer
Correct answer: A
A.
Entity Recognition identifies specific entities (like people, organizations, and locations), and Sentiment Analysis determines the overall sentiment (positive, negative, neutral, or mixed) of the customer feedback.
B.
While Topic Modeling and Keyphrase Extraction are useful for grouping documents and identifying key concepts, they do not provide entity recognition or sentiment analysis.
C.
Keyphrase Extraction identifies significant phrases, but it does not identify entities or determine sentiment. Topic Modeling groups documents by common themes, which isn’t directly relevant for analyzing individual feedback.
D.
Text Classification helps categorize text into predefined categories, but it does not directly extract entities or analyze sentiment.
Discussion
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