Which AWS Services Analyze Sentiment in Written Customer Reviews?

Identify practical use cases for AI. Describe AWS infrastructure and technologies for building generative AI applications.

Answer Correct answer: B, D — Amazon Comprehend performs built-in NLP sentiment analysis on written reviews, while Amazon Bedrock uses foundation models to classify review sentiment.

An ecommerce company wants to build a solution to determine customer sentiments based on written customer reviews of products. Which AWS services meet these requirements? (Choose two.)

Amazon Lex
Amazon Comprehend Correct Answer
Amazon Polly
Amazon Bedrock Correct Answer
Amazon Rekognition

Community Insight

The question tests matching text-based sentiment analysis to AWS AI services; the trap is treating any AI service, especially Rekognition, as suitable for written reviews.

Written customer reviews require text-based sentiment analysis rather than image or speech processing. Amazon Comprehend provides built-in sentiment detection and Amazon Bedrock can apply foundation models to the same reviews, making B and D the correct pair.

The most common wrong pick is Amazon Rekognition, because learners see it is an AWS AI service but overlook that it processes images and video, not written review text.

Community Discussion (8 comments)

65703c1 👍 2 Selected: BD

BD is the correct answer

Jessiii 👍 7 Selected: BD

B. Amazon Comprehend: Amazon Comprehend is a fully managed natural language processing (NLP) service that can analyze text and extract insights, including sentiment analysis. This makes it ideal for determining customer sentiment based on written reviews. D. Amazon Bedrock: Amazon Bedrock provides access to foundation models (FMs) for various tasks, including sentiment analysis, through generative AI. It can be used to analyze customer reviews and understand sentiment.

85b5b55 👍 1 Selected: BD

Amazon Comprehend (insight of the customer reviews) and Amazon Bedrock helps for sentiment analysis.

eesa 👍 1 Selected: BD

B. Amazon Comprehend: Amazon Comprehend is a fully managed natural language processing (NLP) service that can analyze text and determine sentiment, entities, key phrases, and language. For customer sentiment analysis based on written reviews, Amazon Comprehend provides built-in sentiment analysis that can classify text as positive, negative, or neutral. D. Amazon Bedrock: Amazon Bedrock is a service that provides access to various foundation models (FMs), which can be used to build and deploy AI-driven applications. For advanced natural language processing tasks like sentiment analysis, foundation models can be fine-tuned and applied to specific use cases, such as understanding customer sentiment in reviews. This is a more customizable and advanced option compared to pre-built solutions like Amazon Comprehend.

taka5094 👍 4 Selected: BD

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to uncover insights and relationships in text. It offers sentiment analysis capabilities out-of-the-box, which can directly determine the sentiment (positive, negative, neutral, or mixed) expressed in customer reviews. Amazon Bedrock is a fully managed service that makes foundation models accessible with simple API calls. It allows you to build generative AI applications for various use cases, including sentiment analysis. By providing customer reviews as input prompts, you can use Bedrock to generate sentiment labels or scores.

PHD_CHENG 👍 3

Why not B,E?

piouson 👍 1

Rekognition analyses images and videos to detect objects, text, and human faces.

JustEugen 👍 2

I also thought about B and E. For B it is easy, you can analyze text with comprehend For E you using Rekognition you can check how customer reacts to your product while unboxing and so on When AWS Bedrock can also be the case, it simply can do the same but trained on specific data, that actually is the same, analyze text and produce output,

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Expert Analysis

Why the Answer Is Correct

Amazon Comprehend is the AWS managed NLP service with built-in sentiment analysis, returning positive, negative, neutral, or mixed for text such as customer reviews. Amazon Bedrock supplies foundation models that can also classify review sentiment through prompts or customized models, which is why it satisfies the generative-AI route in the pair. Because the question asks for two services and both operate on written text, B and D form the only coherent combination. Comprehend covers out-of-the-box NLP, while Bedrock covers model-based text understanding.

Why the Other Options Are Wrong

Amazon Lex builds conversational chatbots and voice/text interfaces; it does not provide sentiment classification of review text. Amazon Polly converts text into lifelike speech, so it is an output/speech service rather than a review-analysis service. Amazon Rekognition analyzes images and video, including faces and objects, not written customer sentiment. These services can be part of a broader customer-experience workflow, but they do not meet the stated text-sentiment requirement.

Community Comment Notes

Multiple learners, including Jessiii and taka5094, selected B and D and explained Comprehend's built-in NLP sentiment analysis plus Bedrock's foundation-model access. One learner explicitly stated "BD is the correct answer", reflecting the visible consensus around that pair. PHD_CHENG asked "Why not B,E?", and JustEugen considered Rekognition for unboxing reactions, but that uses video rather than written reviews. As piouson noted, "Rekognition analyses images and videos to detect objects, text, and human faces", which confirms it is not the text-sentiment tool here.

Official Reference

Exam Strategy

Eliminate services by input modality: written reviews are text, so choose text/NLP and foundation-model services, not image, speech, or chatbot services. When two answers are required, confirm both selected services can perform sentiment analysis rather than just general AI.

Frequently Asked Questions

Why is Amazon Rekognition not correct for written customer reviews?

Rekognition analyzes images and video for objects, faces, and text, not free-form review sentiment. Written reviews require NLP or a foundation model.

Can Amazon Bedrock perform sentiment analysis without a custom model?

Yes. You can prompt a foundation model in Bedrock to classify review sentiment, or customize a model for your domain.

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