A company wants to automatically extract sentiment (positive/negative), key phrases, and named entities from a large volume of customer review text. Which AWS service is MOST suitable for this use case?

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Select an answer
CorrectC

Explanation

Question Overview

A question asking to select the AI service specialized for natural language processing of text.

Requirements to satisfy
  • 1「from customer review text」Text is the analysis target = Comprehend
  • 2「sentiment」Sentiment analysis (positive/negative classification)
  • 3「key phrases」Key phrase extraction via NLP
  • 4「automatically extract」Automated by machine learning
Per-option explanation
AIncorrect

Amazon Rekognition

Amazon Rekognition is specialized for image and video analysis.

It is not a natural language processing service that extracts sentiment and key phrases from text. This is incorrect.

BIncorrect

Amazon Polly

Amazon Polly is a service that converts text to speech.

It is not an analytics service that extracts sentiment or key phrases from text. This is incorrect.

CCorrect

Amazon Comprehend

This is correct. Amazon Comprehend is an AI service for natural language processing (NLP). It uses machine learning to automatically perform sentiment analysis, key phrase extraction, entity recognition (people, places, organizations, etc.), and language detection on text. It is well suited for analyzing large volumes of reviews and customer inquiries.

DIncorrect

Amazon Translate

Amazon Translate is an AI service that translates text into another language.

Although both services process text, extracting sentiment, key phrases, and named entities — natural language analysis — is the role of Comprehend, not a translation service. This is incorrect.

Key Takeaway

'Text analysis,' 'sentiment analysis,' and 'NLP' all point to Amazon Comprehend. Distinguish by input/output: images = Rekognition, text-to-speech = Polly, speech-to-text = Transcribe.

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