The core requirement is to perform sentiment analysis on written text from customer reviews.

Amazon Comprehend is a managed Natural Language Processing (NLP) service specifically designed for this type of task. It has a dedicated API for sentiment analysis that can identify whether the sentiment of a text is positive, negative, neutral, or mixed.

Amazon Bedrock provides access to a range of powerful foundation models (FMs) from leading AI companies. These large language models (LLMs) are highly proficient at understanding context and nuance in text, making them well-suited for performing sophisticated sentiment analysis as part of a broader generative AI application.

1. Amazon Comprehend: According to the official documentation

"Amazon Comprehend uses natural language processing (NLP) to extract insights about the content of documents... The sentiment analysis operation determines the overall sentiment of a text (Positive

Negative

Neutral

or Mixed)."

Source: AWS Documentation

"Amazon Comprehend Developer Guide

" section: "Sentiment analysis."

2. Amazon Bedrock: The documentation states

"Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs)..." These FMs

such as Amazon Titan Text and Anthropic's Claude

are designed for a wide range of NLP tasks

including text classification and sentiment analysis.

Source: AWS Documentation

"Amazon Bedrock User Guide

" section: "What is Amazon Bedrock?" and "Foundation models."

3. Amazon Lex (Incorrect): The official guide states

"Amazon Lex is an AWS service for building conversational interfaces into any application using voice and text." This confirms its purpose is for interaction

not bulk text analysis.

Source: AWS Documentation

"Amazon Lex V2 Developer Guide

" section: "What Is Amazon Lex?".