Call for Speakers

Deadline has been extended to May 30

Making AI (and just about everything else) Smarter and More Useful

We understand this is a difficult time for everyone due to the current health crisis and that you have many other things on your mind, however, our team is still working hard to provide the best ever events in November: KMWorld 2021 & its co-located events Taxonomy Boot Camp, Enterprise Search & Discovery, and Text Analytics Forum.

If you find you have a few minutes to think of messages, experiences, and expertise that you want to share, please do consider sending us a proposal to speak. We understand that you might not know what your organization has planned regarding travel in the fall, so we are happy to have a conditional response to participation now. We plan to confirm speakers in June as we will hopefully all have a better view of the future at that point. We appreciate your flexibility and look forward to receiving your proposal.

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 30.

Speaking topics this year will include but not limited to:

  • Artificial Intelligence and Text Analytics: Putting the Intelligence in AI
  • GPT-3 and Conversational Text Applications – Smarter Chatbots
  • How to Get Started in Text Analytics
  • How to Take Text Analytics to the Next Level
  • How to Select Text Analytics Software
  • Machine Learning and Rules-based Approaches: Either/Or or And
  • New Approaches in Text Analytics
  • Social Media Analysis
  • Deep Learning
  • Graph Databases
  • Text Analytics ROI: Making the Business Case
  • Big Social Data’s Impact on Business
  • Beyond Sentiment Analysis – Understanding Customer’s Behavior
  • Voice of the Customer, Employee, Voter
  • Text Analytics and Fake News
  • Fraud Detection
  • Social Media Mining for Customer Insight and Competitive Intelligence
  • Building a Corporate Taxonomy with Text Mining and Text Analytics Tools
  • Text Analytics and Ontology Development – Fact Extraction and Text Mining
  • Text Analytics and KM – From Expertise Location to Community Support
  • E-Discovery and FOIA
  • New Models of Knowledge Organization
  • Integrating Dynamic Clustering and Taxonomies
  • New Sentiment Models: Psychology and Text Analytics
  • Enterprise Text Analytics – A Platform for Text Applications
  • Semi-supervised Learning for Multiple Applications
  • Text Analytics Analysis of Political Content
  • Text Analytics and Cognitive Computing
  • Text Analytics and Enterprise Search

We look forward to receiving your ideas and suggestions before the extended submission deadline of May 30, 2021.

Tom Reamy
Program Director, Text Analytics Forum
Chief Knowledge Architect, KAPS Group, USA

Co-Located With
  • KMWorld 2021
  • Enterprise Search & Discovery 2021
  • Taxonomy Boot-camp