Deadline: 04/13/2020 – Analytics, Technology, Innovation Speakers Needed on 11/18/2020 for Washington, D.C. for 2020 Text Analytics Forum – Free Speaker Bureau Expert Wanted

11/18/2020 through 11/19/2020
JW Marriott
Washington, D.C.
2020 Text Analytics Forum

Preferred Meeting Topics:
Analytics, Technology, Innovation

Booking Deadline for Speaker: 04/13/2020

Demographic Mix of the Audience:
50% Male
50% Female

Age Group(s) Expected in Audience:
20-60

Number of Attendees Expected
250+

Special Details About This Meeting/Audience:

In our fourth year, Text Analytics Forum is seeking knowledgeable and creative people with exciting new approaches to share their ideas on all things textual. The Text Analytics Forum is a place for sharing ideas and experiences in text analytics from beginner to advanced developers. We cover all aspects and approaches to text analytics including machine learning and AI, semantic categorization rules, build your own to advanced development-testing platforms, and human-machine hybrid applications.

One of the best ways to build great applications is to use text analytics to capture and model the structure within so-called unstructured content. The reason it is so difficult to get good value from “unstructured” content is not the lack of structure, but rather having too many different kinds of structure. However, text analytics can capture, model, and utilize all the kinds of structure. These structures can range from clusters of co-occurring terms to formal and informal sections that contain critical content for understanding a document to data structures for extraction to advanced arguments or discussions between documents or tweets to sophisticated patterns of words that reveal insights about the writer’s sentiment or psychology.

Abandoning the under-performing Bags of Words approach, smart content means search that works, rich new sources of data for any analytical application, and finally, AI that overcomes its inherent bias. AI is only as smart as the content on which it is trained and text analytics, utilizing content structures, is the tool to create smarter training sets.

We want to hear about how you are using text analytics to create and utilize smart content and the applications you built on this foundation. What new ways are you making content smart? How you are using that smart content in new applications (or making old applications smarter)? What new kinds of applications are you developing? What new kinds of semantic structures have you been working with (knowledge graphs, ontologies, etc.)? What issues are you discovering and how did you overcome them?

Text Analytics Forum is seeking speakers who inform and excite attendees with practical how-to’s, fascinating use cases that showcase the power of text analytics, new techniques and technologies, and new theoretical ideas that drive text analytics to the next level.


Scope of the Overall Organization:

Local, National

Name of Meeting Organizer:
Tom Reamy

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