Author Archives: Stuart Shulman

About Stuart Shulman

Stuart Shulman is a political science professor, software inventor, entrepreneur, and garlic growing enthusiast who coaches U13 boys club soccer and in the Olympic Development Program with a national D-license. He is Founder & CEO of Texifter, LLC, Director of QDAP-UMass, and Editor Emeritus of the Journal of Information Technology & Politics. Stu is the proud owner of a Bernese/Shepherd named "Colbert" who is much better known as 'Bert. You can follow his exploits @stuartwshulman.

Power Track for Twitter

It works! In less than 48 hours, the GNIP-enabled Power track for Twitter has pulled in more than a quarter million Tweets for the rule “Google”: 257, 284 to be precise, but that number changes faster than I can keep … Continue reading

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100 Million Documents

A few days ago, DiscoverText ingested document 100,000,000. It was probably a Tweet. Researchers woke up today to a newly optimized database of more than 300,000,000 meta data values. Over the coming days and weeks, we will be rolling out … Continue reading

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PowerTrack for Twitter

DiscoverText is preparing to launch a short and exclusive beta test period using “PowerTrack for Twitter Firehose Filtering” a service provided by GNIP. Compared to the “rate limited” service offered by DiscoverText through the public Twitter API, the “Full Firehose” … Continue reading

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ACUS Calls for ‘Reliable Comment Analysis Software’

In a recent series of recommendations, the Administrative Conference of the United States (ACUS), announced findings under the auspices of “Legal Considerations in e-Rulemaking,” from the Committee on Rulemaking. Having spent more than decade working on e-Rulemaking, I was curious … Continue reading

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DiscoverText Webinar

Learn to Use DiscoverText – Free Tutorial Webinar Tuesday August 16 at 1:00 PM EST Webinar Registration: https://www1.gotomeeting.com/register/750225288 This free, live Webinar introduces DiscoverText and key features used to ingest, filter, search & code text. We take your questions and … Continue reading

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Facebook Graph Mysteries

During my recent visit to the Digital Methods Initiative (DMI) summer school, hosted by my good friend Richard Rogers, I had the pleasure of spending two days teaching and working with 35 exceptionally bright students who were new to the … Continue reading

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Top #GameofThrones Tweeters

Below is another in our series of training videos. In this episode, we introduce you to a great new feature for peaking into the list of top values in a particular meta data field. In the example here, I show … Continue reading

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Watch a DiscoverText Webinar

We have been holding Webinars for the last few years as a way to get the word out about our software, but also to learn about the issues people are having gathering, organizing, filtering, searching, coding and analyzing text data. … Continue reading

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70,000 Game of Thrones Tweets

I wanted to test the new Cloud Explorer developed by Texifter as part of the DiscoverText suite of text analysis tools. Since the revisions to the old tag cloud tool were inspired by comments from a Game of Thrones fan, … Continue reading

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Download the Recent DiscoverText Webinar

For the next 14 days, you can download and replay the entire 145 MB DiscoverText Webinar. Your PC may require a Codec from GoToMeeting to play the file properly. Many thanks to Stranded Wind for a very generous evaluation! Tweet … Continue reading

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Next Free DiscoverText Webinar Tuesday 12 PM EST

Register here for the next live, free, interactive training Webinar with Dr. Shulman. 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 … Continue reading

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Dwindling Osama bin Laden Tweets and the RT Champs

The running count in my DiscoverText “bin Laden” project is ~4.5 million unsharable Tweets. Though we can’t share them, we can describe them. One of the interesting features of this dataset is the rapidly dwindling Tweet rate over the month … Continue reading

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Coding Text – Part Three

Researchers interested in large text collections and their itinerant coders tend to muddle through with limited collaborative, cross-disciplinary resources upon which to draw. The generic criteria for high-quality codebook construction and effective coding are underdeveloped, even as the tools and … Continue reading

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Coding Text – Part Two

In Part One of the Series “Coding Text the QDAP Way,” I wrote about the problem of idiosyncratic annotation and the lack of diverse, interesting and re-usable annotated data sets. Providing data for replication (when possible) is a requisite for … Continue reading

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Coding Text Using the “QDAP Method” – Part One

We did it! The free, open source, Web-based, university-hosted, FISMA-compliant “Coding Analysis Toolkit” CAT recorded its one millionth coding choice. Pretty much all the credit goes to Texifter CTO and chief CAT architect Mark Hoy who has put in many … Continue reading

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