Call for Speakers
Deadline is May 17
Making AI (and just about everything else) Smarter and More Useful
Now in our fifth 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.
The last few years have seen some fantastic advances in AI in both theory and practice. However, the vast majority of those advances have been in data and pattern-based AI not in text. Even the much-hyped GPT-3 from Open AI largely treats text as sets of complex patterns without any real understanding of the meaning of the words in it’s truly gigantic “training set”. Three-year-old children continue to outperform the best AI programs in learning language at the meaning level – learning new words from a single exposure rather than billions of examples.
Text analytics to the rescue! AI is only as smart as the content on which it is trained and text analytics is the best tool to create smarter training sets. It is also the best tool to create smart and useful applications of all kinds – search, customer and business intelligence, sentiment and social media analysis, and new applications no one has thought of – yet.
We want to hear about how you are using text analytics and AI (or other techniques) to create really useful applications, enhance taxonomies and ontologies, and make existing applications smarter. What lessons did you learn in building these applications that you can share? What new applications have you built? What new techniques have you developed to drive the new applications?
Speaking Topics
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. See the topics below and submit your proposal no later than May 17.
Speaking topics this year will include but not limited to:
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We look forward to receiving your ideas and suggestions before the submission deadline is May 17, 2021.
Tom Reamy
Program Director, Text Analytics Forum
Chief Knowledge Architect, KAPS Group, USA
