Call for Speakers
Deadline is May 4
Text Analytics (TA) and the Integrated Enterprise
Unstructured text is everywhere, and, despite multiple and varied attempt to get real value from all that text, it continues to be a problem child. Any solution requires an integrated approach to utilize all the varied types and uses of unstructured text.
Text analytics (TA) is a critical component for all efforts to utilize unstructured text in the enterprise and is the key to a successful integration of this essential enterprise resource. This year’s conference will explore how TA can enhance and be enhanced by four other key players: knowledge organization (taxonomy and knowledge graphs), search and search-based applications, knowledge management (KM) and learning, and, of course, GenAI and machine learning.
Briefly, the relationship of TA and these four components is a two-way street. TA is both a tool for the development of taxonomies and knowledge graphs, which are essential for developing TA-based applications. TA improves search with well-tagged documents and faceted navigation, and search is a powerful tool for developing TA and TA-based applications. A good search is an essential tool for KM, and KM can guide and enrich the development of TA-based applications. Getting business value from GenAI in the enterprise requires, above all else, a well-structured training set of tagged and organized enterprise documents, and GenAI is a great productivity tool for developing and applying TA.
Text Analytics Forum will explore all of these powerful intersections.
Share your experiences with text analytics: the challenges and the rewards, what worked and what didn't, what you had fun doing and what you didn't. The Text Analytics Forum is a place for sharing ideas and experiences in text analytics from beginners to advanced developers. We cover all aspects and approaches to text analytics, including machine learning and AI, semantic categorization rules, BYO to advanced development-testing software, and human–machine hybrid applications.
We want to hear about how you are using text analytics to create really useful applications, enhance and apply 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? What challenges have you had in getting text analytics funded and what applications are you developing?
Join us to share your experiences, successes, and cautionary tales in this exciting field of text analytics and how it intersects with taxonomy, search, KM, and Gen AI.
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. Have you experimented with ChatGPT? Is ChatGPT a revolution or the next incremental step. See the topics below and submit your proposal no later than May 4.
Speaking topics this year will include but not limited to:
- Artificial intelligence and text analytics: putting the intelligence in AI
- ChatGPT—What impact? Hype or ?
- How are you using GenAI?
- Building enterprise LLMs with text analytics
- Combining public LLMs with enterprise content
- How to overcome machine learning’s need for huge datasets
- 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
- Text analytics for agentic AI
- Deep learning
- Knowledge Graphs and Graph Databases
- Text analytics ROI: making the business case
- Beyond sentiment analysis— Understanding customer’s behavior
- Voice of the customer, employee, voter
- Text analytics and GenAI hallucinations
- Fraud Detection
- Hybrid tagging: Best of both worlds
- Auto-categorization as part of the publishing process
- Using CM templates and text analytics to populate metadata facets
- Python coding for ChatGPT/GPT4
- Text Analytics: Making RAG Smarter and Safer
- 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
- How Are You Using GenAI?
- Using text analytics to auto-populate expertise profiles
- Using Text Analytics for Smarter Prompt Engineering
- Using content structure models to improve accuracy by 50%
- Automated and semi-automated methods to populate search facets
How to Submit a Proposal to Speak
To participate in Text Analytics Forum 2026 as a possible speaker, or to suggest a speaker, please post your submission no later than May 4, 2026.
Submissions must include a proposed title and description of the session, speakers’ and co-presenters’ names and full contact information, and a few sentences of biographical information that relates the speaker to the topic. All submissions will be reviewed and notification regarding acceptance will be made by July.
Submit your proposal to speak today!
Conference Organizer
Text Analytics Forum 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.
Conference 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.
