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Answer: Amazon Comprehend
## Explanation Amazon Comprehend is the correct AWS service for sentiment analysis on text data like customer service emails. Here's why: ### Service Analysis: - **Amazon Comprehend**: A natural language processing (NLP) service that uses machine learning to find insights and relationships in text. It can perform sentiment analysis to determine if text is positive, negative, neutral, or mixed. ### Why Not Other Options: - **Amazon Textract**: Used for extracting text and data from scanned documents, not for sentiment analysis - **Amazon Translate**: A neural machine translation service for translating text between languages - **Amazon Rekognition**: A computer vision service for image and video analysis, not text analysis ### Key Features of Amazon Comprehend: - **Sentiment Analysis**: Detects positive, negative, neutral, or mixed sentiment - **Entity Recognition**: Identifies entities like people, places, brands - **Key Phrase Extraction**: Extracts important phrases - **Language Detection**: Identifies the dominant language - **Syntax Analysis**: Analyzes parts of speech For analyzing customer service emails to determine positive or negative sentiment, Amazon Comprehend is specifically designed for this type of natural language processing task.
Author: Ritesh Yadav
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A company wants to perform sentiment analysis on customer service email messages that it receives. The company wants to identify whether the customer service engagement was positive or negative. Which AWS service should the company use to perform this analysis?
A
Amazon Textract
B
Amazon Translate
C
Amazon Comprehend
D
Amazon Rekognition