What is Amazon Comprehend primarily designed for?

Amazon Comprehend is primarily designed for analyzing text data. It leverages natural language processing (NLP) to extract insights from written content. This includes tasks such as sentiment analysis, entity recognition, key phrase extraction, and language detection. Businesses and developers use it to gain valuable insights from customer feedback, reviews, and any other form of unstructured text data, enabling them to make data-driven decisions.

The focus of Amazon Comprehend on text analysis differentiates it from other services. For instance, analyzing video content involves different types of data processing and is typically the realm of services like Amazon Rekognition. Building machine learning models is a broader activity that can involve various AWS services, but Amazon Comprehend specifically provides pre-built capabilities tailored to text data, streamlining the process for users. Lastly, storing large datasets relates to storage solutions like Amazon S3 and is not the main function of Amazon Comprehend, which is centered on understanding and interpreting text rather than storage.