[liberationtech] Learn to Use DiscoverText to Gather and Classify Electronic Text - Free Webinar Noon Tuesday EST

[Stuart Shulman]

Learn to Use DiscoverText to Gather and Classify Electronic Text
Free Webinar Tuesday at 12:00 PM EST

To register: https://www1.gotomeeting.com/register/137847889

This Webinar introduces new and existing DiscoverText users to the basic 
document ingest, search & code features, takes your questions, and 
demonstrates our newest tool, a machine-learning classifier that is 
currently in beta testing. This is also a chance to preview our "New 
Navigation" and advanced filters.

DiscoverText's latest additions to our "Do it Yourself" platform can be 
easily trained to perform customized mood, sentiment and topic 
classification. Any custom classification scheme or topic model can be 
created and implemented by the user. Automatic classifications can then 
be set as document filters with adjustable thresholds. For those 
following the trajectory of this software, this new set of 
functionalities represents a leap forward.

You can also generate tag clouds and drill into the most frequently 
occurring terms or use advanced search and use combinations of text and 
metadata filters to create "buckets" of text. Next week we are launching 
v2 of our tag cloud tool which will give users considerable flexibility 
to build the visualization that best represent their discoveries and 
inferences.

The system makes it possible to capture, share and crowd source text 
data analysis in novel ways. For example, you can collect text content 
off Facebook, Twitter & YouTube, as well as other social media or RSS 
feeds. Dataset owners can assign their "peers" to coding tasks.

It is simple to measure the reliability of two or more coder's choices. 
Crowd sourcing with 50 coders is no problem. A distinctive feature of 
DiscoverText and its free, open source pre-cursor CAT, is the ability to 
adjudicate coder choices for training purposes or to report validity by 
code, coder or project. This technique allows researchers to report 
validity scores (% valid) alongside reliability measures (Fleiss' Kappa).

So, please join us Tuesday June 7 at 12:00 PM EST (Noon) for an 
interactive Webinar. Find out why sorting thousands of items from social 
media, email and electronic document repositories is easier than ever. 
Participants in the Webinar will be invited to become beta testers of 
the new classification application.

~Stu


--
Dr. Stuart W. Shulman
http://people.umass.edu/stu

Editor, JITP
www.jitp.net

Director,
QDAP-UMass http://www.umass.edu/qdap

Founder and CEO,
Texifter http://www.texifter.com