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Text Analytics
Archive, Search, Filter, Cluster, Human Code & Machine Classify Text
Curated by Stuart Shulman
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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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Search Every Tweet in History

Search Every Tweet in History | Text Analytics | Scoop.it
Stuart Shulman's insight:

Beta testing our first new product in three years: free estimates (self-serve) from the full history of Twitter, powered by the Gnip Power Track. Visit http://beta.twittersifter.com to try it out.

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DiscoverText

DiscoverText | Text Analytics | Scoop.it

Powerful online software tools for text analytics. Collect, archive, filter, search & classify data from surveys, public comments & social media. DiscoverText is a 'Swiss Army knife' for text. With one platform, DiscoverText, users can capture, filter, de-duplicate, cluster, search, human code, and machine-classify large numbers of small, unstructured units of text. Our approach mixes human and computer training in an elegant and powerful loop.

Stuart Shulman's insight:

Excitement is building for a late September release of the new DiscoverText interface.

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Leveraging Social Data In The Public Sector Gnip Whitepaper

Leveraging Social Data In The Public Sector Gnip Whitepaper | Text Analytics | Scoop.it

To extract actionable information from social media, organizations in the Public Sector need reliable access to comprehensive, real-time social data - the underlying data from social media platforms. This whitepaper will define these data sources, discuss potential uses of social data in the Public Sector, describe the challenges associated with using social data, and identify actions organizations may take to integrate social data into their operations. It is intended to help any Public Sector organization or program understand the basics of making use of social data to advance their mission.

Stuart Shulman's insight:

More important thought leadership from the leading supplier of reliable and complete social data.

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burlysand's comment, September 24, 2013 12:15 AM
Very good...!!
burlysand's curator insight, September 24, 2013 12:16 AM

Very good...!!

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How to Order a Social Media Pizza with Extra Text Mining

How to Order a Social Media Pizza with Extra Text Mining | Text Analytics | Scoop.it
Companies can capitalize on the wealth of information in consumers’ and competitors’ online posts.
Stuart Shulman's insight:

There is a lot of public-facing data that can be used in academic and commercial research. DiscoverText is a set of tools and methods that make such activities transparent, repreatable, and scalabe. 

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Mining Consumer Opinion

Commonly known as a comment system, Disqus facilitates comments from over 2.5 million sites. The team at Disqus, Daniel Ha and Steve Roy, like to think of themselves as a community of other communities. But how do they distinguish themselves?

Stuart Shulman's insight:

The Disqus ecosystem is a fabulous source of engaged and in-depth social commentary on both mainline news blogs and in the long tail of the blog-o-sphere.

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Gnip Mapping Travel, Languages & Mobile OS Usage with Twitter Data

Gnip Mapping Travel, Languages & Mobile OS Usage with Twitter Data | Text Analytics | Scoop.it

Together these maps point to something powerful – by looking at geolocation data from Twitter in the aggregate, important understanding can be gained to drive marketing, product development, crisis response, or even inform research and policy decisions.

Stuart Shulman's insight:

Very cool work with #twitter data.

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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 12:14 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 3:49 PM

Has possibilities!!! :)

Terre Tulsiak's curator insight, December 15, 2013 7:47 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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VoC Classification

A brief overview of how de-duplication, clustering, human coding, and custom machine classification can create a reusable analytic pathway through tens of thousands…
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UMass professor Stuart Shulman's DiscoverText software sifts through reams of data to ID what's unique

UMass professor Stuart Shulman's DiscoverText software sifts through reams of data to ID what's unique | Text Analytics | Scoop.it
The web-based software system can quickly sifts through data to identify and summarize what is unique compared to the length of time it would take a person to manually do the same task.
Stuart Shulman's insight:

Big changes are coming to the way we think about and deliver text analytics to end users. 

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Get More Geodata From Gnip With Our New Profile Geo Enrichment

Get More Geodata From Gnip With Our New Profile Geo Enrichment | Text Analytics | Scoop.it

When it comes to analyzing social data, “where” matters. After the topics of conversations, perhaps the strongest connection between social conversations online and the offline world is location. Location is an implicit part of what we do, who we know, what we need, etc. For years now at Gnip, the most requested feature for our existing data products has been “more geodata” to help our customers understand the offline locations that are relevant to online conversations.

Stuart Shulman's insight:

This is another great innovation from the folks @gnip #socialmedia #analytics #bigdata

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Gnip Chumming for Insights: A Social Take on Sharknado

Gnip Chumming for Insights: A Social Take on Sharknado | Text Analytics | Scoop.it

Companies spend millions of dollars promoting hashtags in commercials and yet this movie with a budget less than many companies spend on a single commercial was able to become an instant sensation. In the end, it is results that matter and in this case, the results are viewers. Sharknado was able to achieve an impressive 1.37 million viewers.

Stuart Shulman's insight:

Love it that Sharknado went viral.

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How to Be a Great Coder

This is a tip for coders on what to do when they spot an important item during a coding task. To be a great coder, you need to know a great comment when you see…
Stuart Shulman's insight:

Good coders are careful readers who create useful annotations.

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