Call for Speakers

Deadline is May 1

Text Analytics for Fun and Profit

The Text Analytics Forum, in its 7th year, is the only conference covering all aspects of text analytics: text mining, data extraction, machine learning and the latest AI chatbots, sentiment analysis, auto-categorization, and more. Text analytics utilizes and applies taxonomies and other knowledge schema, adds intelligence to AI, makes enterprise search smarter, and enriches KM. The Forum also covers the entire range of applications that can be built with text analytics. If you are doing anything with text, please submit a speaker proposal and share your experiences.

We are 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 software, and human-machine hybrid applications.

We want to hear about how you are using text analytics to create 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 1.

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 submission deadline of May 1, 2023.

Conference Organizer

Text Analytics Forum 2023 is organized and produced by Information Today, Inc., a diversified digital media and print publisher and conference and events organizer and producer. Our mission is to deliver world-class content in a variety of formats and serve our audiences with the information they need to make informed and critical decisions for their organizations.

Program Director

Tom Reamy, Chief Knowledge Architect, KAPS Group, USA

Tom Reamy is currently the Chief Knowledge Architect and founder of KAPS Group, a group of knowledge architecture, taxonomy, and text analytics consultants. Tom has 20 years of experience in all aspects of text analytics development and applications, taxonomy, and enterprise search. Tom’s academic background includes a Master’s in the History of Ideas, research in artificial intelligence and cognitive science, and a strong background in philosophy, particularly epistemology. He is the author of the only comprehensive book on text analytics, Deep Text. He has published articles in various journals and is a frequent speaker at text analytics and information and knowledge management conferences. When not writing or developing text analytics projects, he can usually be found at the bottom of the ocean in Carmel taking photos of strange creatures.

Featuring These Co-Located Events
  • KMWorld
  • Enterprise Search & Discovery
  • Taxonomy Boot Camp