MLS-C01 · Question #177
MLS-C01 Question #177: Real Exam Question with Answer & Explanation
The correct answer is A: Use Amazon Comprehend for the part-of-speech tagging, key phase extraction, and classification. 1. part of speech tagging : https://docs.aws.amazon.com/comprehend/latest/dg/API_PartOfSpeechTag.html 2. Key phas extraction https://docs.aws.amazon.com/comprehend/latest/dg/how-key-phrases.html 3. custum classification algorithm https://docs.aws.amazon.com/comprehend/latest/dg/h
Question
A data science team is planning to build a natural language processing (NLP) application. The application's text preprocessing stage will include part-of-speech tagging and key phase extraction. The preprocessed text will be input to a custom classification algorithm that the data science team has already written and trained using Apache MXNet. Which solution can the team build MOST quickly to meet these requirements?
Options
- AUse Amazon Comprehend for the part-of-speech tagging, key phase extraction, and classification
- BUse an NLP library in Amazon SageMaker for the part-of-speech tagging.
- CUse Amazon Comprehend for the part-of-speech tagging and key phase extraction tasks.
- DUse Amazon Comprehend for the part-of-speech tagging and key phase extraction tasks.
Explanation
- part of speech tagging : https://docs.aws.amazon.com/comprehend/latest/dg/API_PartOfSpeechTag.html 2. Key phas extraction https://docs.aws.amazon.com/comprehend/latest/dg/how-key-phrases.html 3. custum classification algorithm https://docs.aws.amazon.com/comprehend/latest/dg/how-document-classification.html
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