AWS Comprehend scan list for frequently used words and phrases?

Amazon Comprehend uses natural language processing (NLP) to extract insights about the content of documents. It develops insights by recognizing the entities, key phrases, language, sentiments, and other common elements in a document. For example, using Amazon Comprehend you can search social networking feeds for mentions of products or scan an entire document repository for key phrases.

You can run real-time analysis for small workloads or you can start asynchronous analysis jobs for large document sets. You can use the pre-trained models that Amazon Comprehend provides, or you can train your own custom models for classification and entity recognition.

All of the Amazon Comprehend features can analyze UTF-8 text documents as the input files. In addition, custom entity recognition can analyze image files, PDF files, and Word files.

Reference: https://docs.aws.amazon.com/comprehend/latest/dg/realtime-console-analysis.html -- [1]