Which of the following is a common use case for Amazon Comprehend?

Understanding customer sentiment from text is a primary use case for Amazon Comprehend because this service is specifically designed for natural language processing (NLP). Amazon Comprehend utilizes machine learning to analyze and interpret text, allowing organizations to gain insights into customer opinions, feedback, and sentiments expressed in reviews, social media, and other written communications.

This capability enables businesses to better understand their customers' feelings and preferences, helping them to make informed decisions about products, services, and customer engagement strategies. The technology identifies the sentiment of the text as positive, negative, neutral, or mixed, providing a comprehensive view of customer perspectives.

In contrast, the other options relate to different AWS services or functionalities that are not part of Amazon Comprehend's primary features. Image categorization and video content filtering are more aligned with services focused on visual data processing, while data backup automation falls under data storage and management services.