Building Text Analytics Applications on AWS using Amazon Comprehend


ON-DEMAND


Building Text Analytics Applications on AWS using Amazon Comprehend



Broadcast Date:
June 21, 2018

Level 300 | Service How To
There’s a proliferation of unstructured data. Companies collect massive amounts of news feed, emails, social media, and other text-based information to get to know their customers better or to comply with regulations. However, most of this data is unused and untouched. Natural language processing (NLP) holds the key to unlocking business value within these huge data sets, by turning free text into data that can be analyzed and acted upon. Join this tech talk and learn how you can get started mining text data effectively and extracting the rich insights it can bring. We will also demonstrate how you can build a text analytics solution with Amazon Comprehend and Amazon Relational Database Service.

Learning Objectives:
• Get an introduction to Natural Language Processing (NLP)
• Learn benefits of new approaches to analytics and technologies that help empower better decisions, e.g., NLP, data prep
• Build a text analytics solution with Amazon Comprehend and Amazon Relational Database Service in a step by step demo

Suited For: Developers, Data Analytics, Business Analysts

Speaker(s): Nino Bice, Sr. Product Manager, Amazon Comprehend, AWS; Ben Snively, Solutions Architect, AWS


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