2019 Call for Speakers is Now Closed

Taking It to the Next Level

Now in it's third 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 designed to be a place where those who work with text analytics, from beginner to advanced can benefit from new ideas and experiences.

The theme this year is Taking It to the Next Level.

Text analytics has enormous potential for unlocking and using the information within unstructured content, but often organizations struggle to realize the full value of text analytics at two critical points. The first is pretty obvious: starting a text analytics project. The second is what, according to surveys and interviews, happens too often: organizations implement a text analytics initiative, and after a year or so, realize that they are not getting what they thought they would. The question then becomes how to take their text analytics initiative to the next level.

We are looking for talks about both situations. Some examples are case studies of how you started text analytics: How did you approach it? What issues came up? What new ideas did you developed? What were the key new ideas that enabled you to succeed (or caused you to fail :->)? What advice do you have for others starting out?

We also want to hear how organizations took text analytics to the next level: what worked and what didn’t. What amazing new techniques did you develop? What were the critical success factors? What new applications did you develop?

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 April 26.

Speaking topics this year will include but not limited to:

  • How to Get Started in Text Analytics
  • How to Take Text Analytics to the Next level
  • Machine Learning and Rules-based Approaches: Either/Or or And
  • New Approaches in Text Analytics
  • Faceted Metadata Generation
  • Social Media Analysis
  • Deep Learning
  • Graph Databases
  • Text Analytics ROI: Making the Business Case
  • Enterprise Social Networks
  • Text Analytics and Big Data
  • Big Social Data's Impact on Business
  • Advanced Twitter Applications: Stock Market to Politics
  • Beyond Sentiment Analysis: Understanding Customer's Behavior
  • Voice of the Customer, Employee, Voter
  • Text Analytics and Fake News
  • Getting Outside Your Bubble with Text Analytics
  • Breaking Down Silos with Text Analytics
  • Fraud Detection
  • Text Analytics and Enterprise Search
  • Leveraging Text Analytics for Faceted Search
  • New Techniques in Semantic Search
  • Text Analytics and Cognitive Computing
  • 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 Enhancing Taxonomies
  • Text Analytics and Semantic Technology
  • Text Analytics and KM – from Expertise Location to Community Support
  • Advanced Knowledgebases – Beyond Personalization
  • E-Discovery Case Studies
  • Multiple Language Text Analytics
  • New Models of Knowledge Organization
  • Smarter Chat Bots
  • Open Source Text Analytics
  • Integrating Dynamic Clustering and Taxonomies
  • Fact Extraction and Smart Summaries
  • Survey Analysis
  • Selecting the Right Text Analytics Tools
  • Enterprise Text Analytics – Text in Every Department
  • Semi-supervised Learning for Multiple Applications
  • Text Analytics Analysis of Political Content

We look forward to receiving your ideas and suggestions before the submission deadline extended to April 26, 2019.

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

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