AWS has launched a solution to help organizations extract insights and automate processing documents of different formats (PDF, Word, raw text) and layouts (bullets, lists) using Amazon Comprehend. This new launch combines the power of natural language processing (NLP) and Optical Character Recognition (OCR) to help reduce the amount of preprocessing or post-processing required to process documents.
Amazon Comprehend, a natural-language processing (NLP) service, uses machine learning to uncover information in unstructured data. Instead of combing through documents, the process is simplified and unseen information is easier to understand.
The service can identify critical elements in data, including references to language, people, and places, and the text files can be categorized by relevant topics. In real time, it enables users to automatically and accurately detect customer sentiment in their content. This accelerates more informed, real-time decision making to improve customer experiences.
Amazon Comprehend not only locates any content that contains personally identifiable information, it also redacts and masks that content. Comprehend is fully managed, so users can get up and running quickly, without having to train models from scratch.