Tag: Natural Language Processing

Amazon Comprehend Medical is a natural language processing (NLP) service that simplifies the use of machine learning (ML) to extract relevant medical information from unstructured text often found in clinical charts or doctor’s notes. Since the service launched in the AWS Canada (Central) Region in June 2019, it opened up possibilities for Canadian healthcare organizations to better serve patients. Vancouver General Hospital (VGH) and University of British Columbia (UBC) researchers are among the organizations who leverage Amazon Comprehend Medical and Amazon SageMaker, to create their own machine learning models that can triage x-rays to provide a better healthcare experience.

Twitter has hundreds of millions of active users each month and supports multiple languages on their platform. These users engage with nonprofits, need citizen services, and learn at schools, universities, and other educational institutions. As a consequence, public sector organizations look to social media not only to communicate with the public, but also to gain insights about the citizens, volunteers, and students they serve. Wouldn’t it be great to know if people had positive or negative opinions about your city, school, nonprofit, or organization? What are they talking about and how many other people share that view?

Just as companies listen to their customers to align the business with their client needs, government organizations listen to their citizens to improve the citizen experience. In order to get feedback, many organizations use different tools with a multi-channel approach, such as customer comments, Helpdesk calls, emails, social media, or mobile apps. Using Amazon Simple […]