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.)
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.
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.
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.
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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