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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, Code & Machine Classify
Curated by Stuart Shulman
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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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Big Data TechCon | March 31– April 2, 2014

Big Data TechCon | March 31– April 2, 2014 | Text Analytics | Scoop.it

Big Data TechCon features practical, how-to classes and tutorials for IT and Big Data professionals, including data and business analysts, developers, software architects, data scientists, and project managers. Big Data TechCon is the how-to Big Data training conference for professionals implementing and analyzing Big Data. 

Stuart Shulman's insight:

Texifter will be exhibiting and giving away the best chocolates and t-shirts. Stop by the exhibit hall and say hi if you are attending.

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Is There a Magic Button?

A short answer to the question: Is there a magic button in text analytics?
Stuart Shulman's insight:

No there is no magic button. However, there are tools and the five pillars of #textanalytics that get you most of the way home.

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Sifter – Search the Complete (Un-Deleted) History of Twitter

We could not be happier about the initial response to the beta test of Sifter, a self-serve tool to let users create free estimates of the data available via the Gnip Historical Power Track for Twtter.

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Gnip and Twitter Bringing Social Data to Academic Researchers

Gnip and Twitter Bringing Social Data to Academic Researchers | Text Analytics | Scoop.it

What if the next generation of data scientists could have access to social data for their research? And what if we could help increase the quantity and quality of published research using social data? Exploring what might be possible has led to an exciting new collaboration between Twitter and Gnip. Today, we’re announcing the pilot of the Twitter Data Grants program, a new initiative designed to support research and fuel innovation in our industry. Beginning today, Twitter is accepting Data Grant proposals for non-commercial, academic research. 

Stuart Shulman's insight:

This is a great next step for the social data industry and researchers who need better access to data.

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Gnip Announces Partnership With RSN

Gnip Announces Partnership With RSN | Text Analytics | Scoop.it
Today I am proud to announce that Gnip has  partnered with RSN, a leading provider of social data and analysis in the Republic of Korea (South Korea), to help us serve a fascinating and fast-growing market. Gnip has long been … Continue reading →
Stuart Shulman's insight:

A fast moving and growing marketplace for social data. The industry is young, but growth is happening day by day.

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Full Historical Twitter Access

Full Historical Twitter Access | Text Analytics | Scoop.it

The application sifter.texifter.com provides search and retrieve access to every Twitter tweet in history. Powered by gnip.com, users can submit Twitter-certified "Gnip Historical Power Track" estimate requests using a variety of query rules. 

Stuart Shulman's insight:

This is v2 of our beta product with a new name. We have released this very early in development, with the project only about five weeks old. 

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Tools for Text

A presentation that outlines the DiscoverText approach to text analytics.
Stuart Shulman's insight:

This is a condensed version of a methods talk I gave at the Universities of Amsterdam and Oslo last week. 

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Big Data Myths Give Way To Reality In 2014

Big Data Myths Give Way To Reality In 2014 | Text Analytics | Scoop.it

For many enterprises, Big Data remains a nebulous goal, rather than a current reality. Yet it's a goal that more and more enterprises are pushing to the top of their priority list.

Stuart Shulman's insight:

It does seem that some people put data into a #bigdata Hadoop cluster before they know why they are doing it.

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Stanford computer scientists create crowdsourcing website to draw ... crowds

Stanford computer scientists create crowdsourcing website to draw ... crowds | Text Analytics | Scoop.it

"Stanford computer scientists have created a website to help organizers plan events that are more likely to succeed or allow them to pull the plug on impending flops before they occur.

The website, called Catalyst, is based on a behavioral science concept known as the threshold model of collective action, which posits that people may be reluctant to commit to participating in activity until they see others taking part, at which point interest surges and the activity becomes successful. But if participation doesn’t reach this threshold point, the event is likely to fail.

 


Via Howard Rheingold
Stuart Shulman's insight:

Howard was indeed ahead of his time and an early influence on my own digital divide and digital citizenship research.

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Howard Rheingold's curator insight, December 8, 2013 3:14 PM

In my 2002 book (12 years ago!) Smart Mobs, I called it "technologies of cooperation" -- working with Institute for the Future, I co-authored a report on Technologies of Cooperation -- and now we're beginning to see computer scientists converge with what social scientists know about collective action to design software that can help people crowdsource.

Vonny~'s curator insight, December 13, 2013 6:49 PM

Has possibilities!!! :)

Terre Tulsiak's curator insight, December 15, 2013 10:47 PM

Good concept but like meetup- what about those serial signer-uppers that don't show? You have to make an event seem VIP to get certain demographic to attend.

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10 Questions to Ask When Measuring Your Social Media ROI

10 Questions to Ask When Measuring Your Social Media ROI | Text Analytics | Scoop.it
Expert advice on how to gauge the success of your social media marketing efforts.

Via Heather James
Stuart Shulman's insight:

I'm not sure there are always satisfying answers to some of these questions.

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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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Tips for Building Effective Classifiers

Custom classifiers (or what we call "sifters") are not all that difficult to build. A small team, or a spirited individual, can build one before lunch. The trick is to understand some basic principles.

Stuart Shulman's insight:

Simple rules of thumb for training machines.

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Data Stories: Gilad Lotan of betaworks

Data Stories: Gilad Lotan of betaworks | Text Analytics | Scoop.it
An interview with the chief data scientist of betaworks, Gilad Lotan, about product development, his SXSW session on data and more!
Stuart Shulman's insight:

Very cool stuff!

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Texifter News: Migration to Azure and the Big Boulder Initiative

Texifter News: Migration to Azure and the Big Boulder Initiative | Text Analytics | Scoop.it
A brief follow up on Texifter. We successfully migrated
Stuart Shulman's insight:

I have been elected a board member and Treasurer for the Big Boulder Initiative (http://bigboulderconf.com/about/). In that capacity, I will be playing a role helping to organize the social data industry association that will launch in June at Big Boulder.

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Collecting Twitter Data

This 75-second video shows how to use DiscoverText to capture Twitter data from the public API.
Stuart Shulman's insight:

Any educator, student, or data scientist can use a free trial account on DiscoverText to collect social data and run advanced analytics. Free data and free tools for anyone who needs them.

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Big Boulder Initiative

Big Boulder Initiative | 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:

Sign up to stay informed about the future of the social data industry.

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Collecting Facebook Data

A 4-minute introduction to collecting public Facebook data using DiscoverText.
Stuart Shulman's insight:

This is a powerful service that is completely free for 30 days. Students, researchers, and educators can collect public Facebook data and perform advanced text analytics using state of the art machine-learning tools.

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Top 10 Trends in Text Analytics

Top 10 Trends in Text Analytics | Text Analytics | Scoop.it

Data Driven Business recently interviewed forward thinking text analytics professionals from leading companies like Bank of America, Home Depot and PayPal, on challenges they are face, overcoming them, and the industry as a whole.

Stuart Shulman's insight:

A good list from on of the most respected sources in the field. KDnuggets is a one-stop-shop for people looking to go deeper into emerging language technologies.

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Digital Methods Initiative Winter 2014 Slides

Digital Methods Initiative Winter 2014 Slides | Text Analytics | Scoop.it
It was a great joy to return to the University of Amsterdam and give this talk to my old friend
Stuart Shulman's insight:

I was very proud of this talk. It went well.

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Is There a Magic Button?

A short answer to the question: Is there a magic button in text analytics?
Stuart Shulman's insight:

The short answer is no. Text analytics are tools and methods that require someone to think through the problem and execute a strategy. There are, however, five core techniques that all amount to specialized filters or what my old collaborator Jamie Callan called "power tools" for text. 

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Big Boulder Initiative Workshop

Shaping the social data landscape for 2016 and beyond.

Stuart Shulman's insight:

This is a great collection of folks coming together to talk about the tough problems of a social data industry that is taking its baby steps.

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