Text Analytics is a platform technology that adds depth and intelligence to any organization’s ability to utilize that most under-utilized resource – text. For many years the exponential growth of information has been experienced as a problem – information overload. However, with a new generation of text analytics tools and techniques, massive amounts of information are becoming part of the solution for an incredibly wide range of applications, from search that works to social media-fueled insights about customers and competitors to new flexible approaches to KM, new solutions to fake news, and more.

The inaugural theme for Text Analytics Forum, Go Deeper, invites all who deal with text to take a deep dive into this powerful set of techniques. The Forum has something for all: whether you are new to the field and want to understand how it can add new capabilities or you are an experienced text analyst and want to see what the latest techniques and tools can add to your repertoire.

The Text Analytics Forum is designed to be a place for sharing ideas from how to get started to how to make the business case to the latest development best practices to use cases showcasing the cutting edge of myriad applications. We will have workshops, roundtables, and an Ask the Expert panel where you can ask four leading experts anything you want.

In addition to the great talks and panels, attendees will be entered into a drawing to win a free signed copy of Deep Text: Using Text Analytics to Conquer Information Overload, Get Real Value from Social Media, and Add Big(ger) Text to Big Data by the conference chair, Tom Reamy. This book, cited as “likely to become a definitive source on text analytics” by Kirkus Reviews, is the perfect way to deepen your conference experience even more.

Text is everywhere and so is text analytics, so if you are interested in any of this year’s set of conferences you should also look to add Text Analytics Forum. Specifically:

• Text analytics utilizes and applies taxonomies and ontologies and can be used to build them
• Text analytics can make SharePoint more powerful with auto-categorization and metadata generation
• Text analytics adds depth and intelligence to enterprise search and search-based applications
• Text analytics can enhance KM with everything from automated expertise location to enterprise social networks enriching KM communities

 Come join us and dive in! 

Who Should Attend

 Basically anyone who deals with text – it’s everywhere! Specifically:

• Text Analysts
• Data Analysts, DBAs
• Content Analysts
• Content Managers
• Information and Knowledge Architects
• Information Professionals
• Search Managers, Designers
• Knowledge Organizers
• Taxonomists & Ontologists
• Librarians
• Intranet & Portal Managers
• SharePoint Developers and Managers
• CIOs & CKOs
• Social Media Analysts
• BI and CI directors
• Web analysts
• Marketing managers who want to add social media
• AI developers with an interest in cognitive computing and related techniques
• Managers and investors who need to leverage text
• Consultants in KM, search, taxonomy and ontology, marketing
• Anyone who is involved in organizing information

What We're Talking about:

• Text analytics techniques of all kinds
• Auto-categorization & auto-metadata generation
• Text mining
• Entity/noun phrase extraction
• Sentiment and social analysis
• Deep Learning & machine learning
• Graph databases  

Conference Chair Tom Reamy Chief Knowledge Architect Author: Deep Text KAPS Group, LLC