Text Analytics Forum, is seeking knowledgeable and creative people with exciting new approaches to share their ideas on all things textual, for its second annual event. 

The history of ideas is sprinkled with countless dichotomies – Platonic Forms vs. Aristotelian Empiricism, Reason vs. Emotion, Left Brain vs Right Brain – and in the field of text analytics we have data vs. text, machine learning vs. rules, symbolic AI vs. data-driven AI, and AI vs. human intelligence.  The latter set not quite as fundamental as the historical dichotomies, but both are just as limiting. 

Modern and sophisticated solutions require an “and”, not a “vs.  As the field of text analytics continues to grow and deepen, new integrative approaches are becoming more important especially for a platform technology that adds depth and intelligence to any organization’s ability to utilize text.

Also, as the amount and variety of text continues its ever-increasing growth, these integrative solutions are helping to create practical applications such as smarter search, social media powered insights into customers and competitors, richer KM initiatives, more dynamic and productive taxonomies, better solutions to fake news, and smarter chat bots.

The Text Analytics Forum is designed to be a place for sharing ideas about their experiences in text analytics including how to get started – creating a foundation and making the business case, tips and techniques for developing text analytics capabilities – like text mining and clustering, entity and fact extraction and auto-categorization and sentiment analysis and showcasing their latest 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 will guide us into the future. These techniques include auto-categorization, text mining, entity & fact extraction, sentiment analysis, machine learning, and more. See the topics below and submit your proposal no later than May 11.

Speaking topics this year will include but not limited to: