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Historical Tweet Collector

Historical Tweet Collector | Text Analytics | Scoop.it

Did you regret not capturing all those Occupy Wall Street Tweets? Did you learn about DiscoverText after the Egyptian Revolution? Do you need to know how a brand or corporation has been discussed on Twitter lately? Are you interested in tracking the first tweets about the latest Syrian massacre? Do you have a hunch that Facebook’s botched IPO has something to do with how the Twitterverse discussed the public offering?

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Archive, Search, Filter, Cluster, Human Code & Machine Classify Text
Curated by Stuart Shulman
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How You Can Prepare for Twitter’s Potential Upcoming Changes

How You Can Prepare for Twitter’s Potential Upcoming Changes | Text Analytics | Scoop.it

Twitter strategy might be shifting and the implications for our personal and business experience could be profound.

Source: www.businessesgrow.com

Stuart Shulman's insight:

Algorithms everywhere shaping everything.

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Texifter Social Data and Tools: July Prize Winners

As a part of getting new users to test our sifter beta, every month this summer we are awarding 12 #datagrants to academics. All you need to do to be included in the August drawing is submit a valid historical Twitter estimate request using sifter and then send us your CV. These prizes shave thousands of dollars of costs off of your research.

Stuart Shulman's insight:

Prizes are worth $9,000 - $16,000. One last drawing at the end of August. A five minute beta test could get you a million historical tweets and a year of free software.

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Using Gnip PowerTrack Filters in Sifter

A 4-minute introduction to how Gnip PowerTrack filters work when generating free estimates from the complete history of Twitter.
Stuart Shulman's insight:

Better handling of historical Twitter rules.

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Social Data & Tools June Prize Winners

Social Data & Tools June Prize Winners | Text Analytics | Scoop.it

As a part of getting new users to test our sifter beta, every month this summer we are awarding 12 #datagrants to academics. All you need to do to be included in the July drawing is submit a valid historical Twitter estimate request using sifter and then send us your CV. These prizes shave thousands of dollars of costs off of your research.

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Data at Scale

Data at Scale | Text Analytics | Scoop.it
Dmitriy Ryaboy from Twitter discusses the challenges of scale. Twitter’s fail whale days may be a thing of the past but it’s still fun to reminisce. For Dmitriy Ryaboy, head of Twitter’s 40-person ...
Stuart Shulman's insight:

The inside scoop from Dmitriy @Twitter on how analytics has evolved through stages of rapid network and personnel growth.

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A Code of Ethics for Social Data: We Need Your Help!

A Code of Ethics for Social Data: We Need Your Help! | Text Analytics | Scoop.it

bbi One of the most important functions that the Big Boulder Initiative can provide is to help establish and clarify a code of ethics for the proper use of social data for industry, academia and other ...

Stuart Shulman's insight:

The first task for @bbi is to finalize a draft code of ethics for the fledgling social data industry. 

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DiscoverText and SurveyMonkey Partnership | SurveyMonkey Blog

Now introducing our awesome partnership with the web-based collaborative text analysis platform, DiscoverText. Learn more!
Stuart Shulman's insight:

The technical integration and promotion of this partnership went off without a hitch. We are delighted to be the #bigdata solution suggested by the world's largest survey web site.

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SurveyMonkey Integration with DiscoverText

Announcing a new strategic partnership and technical integration as part of the SurveyMonkey partner program. DiscoverText users can now import survey results directly from SurveyMonkey. This three-minute video shows step-by-step how to credential in to access your survey open ends as well as the structured metadata for advanced text analytics.
Stuart Shulman's insight:

We are very excited about the announcement tomorrow. The folks at SurveyMonkey have been great to work with. This is a big step for our little start-up. 

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Historical Twitter Data

Historical Twitter Data | Text Analytics | Scoop.it

The application sifter provides search and retrieve access to every undeleted Tweet in the history of Twitter. Powered by Twitter-certified social data provider Gnip.com, users can submit "Gnip Historical PowerTrack" estimate requests using a variety of query rules. When the query is done, sifter generates an email estimating the approximate number of tweets responsive to the query and the cost to execute the retrieval. Once the Twitter data is licensed, we store the Twitter data in a free trial Enterprise DiscoverText account where you can perform advanced text analytics for 30 days - search, filter, cluster, code, and machine classify the data.

Stuart Shulman's insight:

We are completing work for a June launch of new filter tools that make it even easier to pull very precise samples from the complete (undeleted) history of Twitter. Bio, geo, language, influence, and more operators will be wired to drop down menus. 

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School Bullying Research Using DiscoverText

School Bullying Research Using DiscoverText | Text Analytics | Scoop.it

Our Vanderbilt University team uses DiscoverText (DT) to support qualitative text analysis of 8,531 high school students’ responses about their in-school experiences of bullying. DiscoverText has offered us powerful ways to perform key steps throughout our coding process. 

Stuart Shulman's insight:

It is always nice to see the tools and methods we have developed put to good use exploring important research questions while opening the eyes of a new generation of scholars to the importance of measurement, collaboration, as well as trial and error. 

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Five Pillars of Text Analytics

Dr. Stu Shulman, founder and CEO of Texifter, explains how the five pillars of text analytics make it possible to clean social data using DiscoverText by removing irrelevant or ambiguous items. Search, filter, human code, cluster, and machine classify social data.

Stuart Shulman's insight:

These five simple techniques can change the way you think about working with social media data. The take away message is that "data cleaning is fundamental" and though the steps are straightforward, very few practitioners or researchers use them.

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DiscoverText in Sixty Seconds

Stuart Shulman's insight:

Updated short take on what DiscoverText offers for social media collection and text analytics.

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DiscoverText as a Teaching and Research Tool

DiscoverText as a Teaching and Research Tool | Text Analytics | Scoop.it

Conducting research on the impact of large projects and events is difficult as each undertaking is unique. Traditional quantitative techniques face limitations of internal validity while qualitative research faces challenges of external validity. However, projects and events generate a massive amount of social media traffic that can be used to understand stakeholder interactions before, during and after delivery. 

Stuart Shulman's insight:

Texifter continues to sponsor innovative teaching and research at universities around the world.

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CONTAGION—From Justin Bieber to data scientists, how Twitter got hot in the academy

CONTAGION—From Justin Bieber to data scientists, how Twitter got hot in the academy | Text Analytics | Scoop.it
Studying viral trends on the social media platform has gone viral itself: the seventh in a Fortune series on how things spread.
Stuart Shulman's insight:

"A couple years ago, Sherry Emery, a health economist at the University of Illinois at Chicago, found herself reading tweets about “smoking hot girls.” Also about “smoking ribs,” “smoking weed,” and the “smoking chimney” of the papal conclave."

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Open Data on Net Neutrality: Help Crowd Source Analysis of Comments to the FCC

Open Data on Net Neutrality: Help Crowd Source Analysis of Comments to the FCC | Text Analytics | Scoop.it

Yesterday the FCC released the public comments on Net Neutrality. The FCC has asked the public to help make “visualizations” to help surface substantive comments and key themes. 

Stuart Shulman's insight:

We invite you to join our collaborative, web-based effort to find substantive comments and visualize what the public said about Net Neutrality. You can work directly with me and others to crowd source the review of the non-duplicate comments, or you can conduct your own parallel project with the same data.

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Hashtag MRX Influencers

A response to the question posed on Twitter about who the influential #mrx Tweeters are.
Stuart Shulman's insight:

Just a few of the options when working with #Twitter data in DiscoverText.

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Big Boulder 2014 Highlights

This is "Big Boulder 2014 Highlights" by Gnip on Vimeo, the home for high quality videos and the people who love them.
Stuart Shulman's insight:

Excellent conference and launch of @bbi, a trade association for the social data industry.

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Social Data & Tools: Prizes for Academics

Social Data & Tools: Prizes for Academics | Text Analytics | Scoop.it

"We felt inspired by the recent #DataGrants experiment sponsored by Twitter that generated more than 1,300 proposals from 60 countries and resulted in six extremely interesting awards. One thing is clear: many more grants of social data licenses are needed to fuel academic research." 

Stuart Shulman's insight:

Twelve winners every month this summer will get tools and premium#socialdata for free. Twitter, Tumblr, WordPress & Disqus data prizes and three grand prizes of #free historical Twitter data.

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2014 Big Boulder Conference

2014 Big Boulder Conference | Text Analytics | Scoop.it
An historic event bringing together top publishers, industry leaders and consumers of social media data for two days of thought leadership to discuss trends, insights, and developments in the emerging social data economy.
Stuart Shulman's insight:

A new social data industry association will launch in 24 hours at #bigboulder. Sign up to get involved shaping the future landscape of social data marketplace.

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Briefing for SurveyMonkey

7.5 minute briefing for SurveyMonkey personnel on some of the interesting use cases when you bring large response sets into DiscoverText.
Stuart Shulman's insight:

Of all the cool stuff covered here, I think the automated clustering has the greatest potential to transform the way researchers review large numbers of open-ended survey responses.

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Leveraging the Search API

Leveraging the Search API | Text Analytics | Scoop.it
Brands these days are savvy about comprehensively tracking keywords, competitors, hashtags, and so on. But there will always be unanticipated events or news stories that pop up. The keywords associated with these events are rarely ever tracked in advance. So … Continue reading →
Stuart Shulman's insight:
A great feature in the Gnip toolkit.
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SD Times: The Big Boulder Initiative

This initiative seeks to get business intelligence and data-gathering companies to adopt standards and regulations
Stuart Shulman's insight:

Getting close to the launch of the Big Boulder Initiative.

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Overview of Cluster Analysis and Dirichlet Process Mixture Models | DatumBox

Overview of Cluster Analysis and Dirichlet Process Mixture Models | DatumBox | Text Analytics | Scoop.it
In the ISO research project for my MSc in Machine Learning at Imperial College London, I focused on the problem of Cluster Analysis by using Dirichlet Process
Stuart Shulman's insight:

Nice introduction to the topic.

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Twitter #DataGrants selections | Twitter Blogs

Twitter #DataGrants selections | Twitter Blogs | Text Analytics | Scoop.it
Learn more about the six institutions we’ve selected to receive Twitter #DataGrants.
Stuart Shulman's insight:

I expect this is a test run for a larger academic initiative that is coming down the mighty pipes of #Twitter 140 characters at a time.

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DiscoverText: A Vital Research Tool for Social Media

DiscoverText: A Vital Research Tool for Social Media | Text Analytics | Scoop.it

I’ve been using DiscoverText for several years, primarily in an academic research capacity but also working with journalists to help them reach broader audiences through social media.  From an academic standpoint, DiscoverText was the backbone of collecting Facebook and Twitter data for a study on the 2012 Presidential election that was published in Social Scientific Computer Review.  When working with the New England Center for Investigative Reporting, we use DiscoverText to collect social data and mine that to find users interested in topics being covered by the center and to share stories with them. 

Stuart Shulman's insight:

This is a nice endorsement from Dr. Groshek, one of the longtime DiscoverText users who makes the most of our software.

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