How to Integrate Natural Language Processing and Elasticsearch for Better Analytics


How to Integrate Natural Language Processing and Elasticsearch for Better Analytics



When:
September 18 | 9:00 AM - 9:45 AM PT (12:00 PM - 12:45 PM ET)

Level 300 | Service Deep Dive
There’s a proliferation of unstructured data. Companies collect massive amounts of newsfeed, 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 datasets, 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. In this tech talk, you’ll learn how to process, analyze and visualize data by pairing Amazon Comprehend with Amazon Elasticsearch. Learn how you can boost search results, create rich filtering, and develop social media analytics dashboard.

Learning Objectives:
• Get an introduction to Amazon Comprehend, a natural language processing service from AWS
• Understand how to use a natural language processing with Elasticsearch
• Learn how to build customer feedback and social media analytics dashboards and how to boost rankings of the search results and build rich filtering

Who Should Attend: DBAs, Data Engineers, IT Analysts, Web Engineers, Data Scientists, and Researchers

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

Register for the Webinar