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Monday, July 11 • 14:15 - 15:30
Workshop 2D: Text Analytics for Social Data Using DiscoverText & Sifter with Dr. Stu Shulman

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Location: PSH (Professor Stuart Hall Building) - 305
Goldsmiths, University of London, Building 2
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Participate in this workshop to learn how to build custom machine classifiers for sifting social media data. The topics covered include how to:
  • construct precise social data fetch queries,
  • use Boolean search on resulting archives,
  • filter on metadata or other project attributes,
  • count and set aside duplicates, cluster near-duplicates,
  • crowd source human coding,
  • measure inter-rater reliability,
  • adjudicate coder disagreements, and
  • build high quality word sense and topic disambiguation engines.

All workshop participants will get gratis access to DiscoverText for the remainder of 2016. DiscoverText is designed specifically for collecting and cleaning up messy Twitter data streams. Use basic research measurement tools to improve human and machine performance classifying Twitter data over time. The workshop covers how to reach and substantiate inferences using a theoretical and applied model informed by a decade of interdisciplinary, National Science Foundation-funded research into the text classification problem.

Participants will learn how to apply “CoderRank” in machine-learning. Just as Google said not all web pages are created equal, links on some pages rank higher than others, Dr. Shulman argues not all human coders are created equal; the accuracy of observations by some coders on any task invariably rank higher than others. The major idea of the workshop is that when training machines for text analysis, greater reliance should be placed on the input of those humans most likely to create a valid observation. Texifter proposed a unique way to recursively validate, measure, and rank humans on trust and knowledge vectors, and called it CoderRank. 

Pre-Workshop Prep: 
No Prerequisites Required 

Workshop Contact
Stu Shulman - stu@texifter.com 

avatar for Stu Shulman

Stu Shulman

CEO, Texifter
Dr. Stuart W. Shulman is the founder and CEO of Texifter. Stu was formerly a UMass Amherst political science professor and the Vice President for Text Analytics at Vision Critical. Dr. Shulman is the sole inventor of the Coding Analysis Toolkit (CAT), an open source, Web-based text... Read More →

Monday July 11, 2016 14:15 - 15:30 UTC
PSH (Professor Stuart Hall Building) - 305 Goldsmiths University, Building 2