Smart Content: Utilizing the Structure in Content



Submit Your Proposal

Deadline is April 13

In our fourth 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.

One of the best ways to build great applications is to use text analytics to capture and model the structure within so-called unstructured content. The reason it is so difficult to get good value from “unstructured” content is not the lack of structure, but rather having too many different kinds of structure. However, text analytics can capture, model, and utilize all the kinds of structure. These structures can range from clusters of co-occurring terms to formal and informal sections that contain critical content for understanding a document to data structures for extraction to advanced arguments or discussions between documents or tweets to sophisticated patterns of words that reveal insights about the writer’s sentiment or psychology.

Abandoning the under-performing Bags of Words approach, smart content means search that works, rich new sources of data for any analytical application, and finally, AI that overcomes its inherent bias. AI is only as smart as the content on which it is trained and text analytics, utilizing content structures, is the tool to create smarter training sets.

We want to hear about how you are using text analytics to create and utilize smart content and the applications you built on this foundation. What new ways are you making content smart? How you are using that smart content in new applications (or making old applications smarter)? What new kinds of applications are you developing? What new kinds of semantic structures have you been working with (knowledge graphs, ontologies, etc.)? What issues are you discovering and how did you overcome them?

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 13.

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
  • Social Media Analysis
  • Deep Learning
  • Graph Databases
  • Text Analytics ROI: Making the Business Case
  • 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
  • Fraud Detection
  • Text Analytics and Enterprise 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
  • E-Discovery and FOIA
  • New Models of Knowledge Organization
  • Smarter Chat Bots
  • Open Source Text Analytics
  • Integrating Dynamic Clustering and Taxonomies
  • 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 is April 13, 2020.

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

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