MLS-C01 · Question #177
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 p
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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.
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