Text Analytics
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Text Analytics
Archive, Search, Filter, Cluster, Human Code & Machine Classify Text
Curated by Stuart Shulman
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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 3:15 AM
Very good...!!
burlysand's curator insight, September 24, 2013 3:16 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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11th Annual Text and Social Analytics Summit

11th Annual Text and Social Analytics Summit | Text Analytics | Scoop.it

Unlock the potential of text and social data to improve customer insights and drive commercial success, from implementation to application.

Stuart Shulman's insight:

I always learn something at these events.

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M.I.T. Scholar’s 1949 Essay on Machine Age Is Found

M.I.T. Scholar’s 1949 Essay on Machine Age Is Found | Text Analytics | Scoop.it
“The Machine Age,” an essay written for The New York Times by Norbert Wiener, a visionary mathematician, languished for six decades in the M.I.T. archives, and now excerpts are being published.
Stuart Shulman's insight:

A founding visionary for machine-learning. These observations grow in importance daily.

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Gnip Big Boulder 2013

Gnip Big Boulder 2013 | Text Analytics | Scoop.it

The leaders in social data: Facebook, Twitter, Tumblr, Foursquare, Automattic, Disqus and many more are descending on Boulder again this summer to talk about the future of their platforms. Last year was a huge success and the expectations this year are even higher.

Stuart Shulman's insight:

Last year Big Boulder was by far the most interesting conference I attended. This year, it will be especially interesting to hear about Tumblr in the early wake of the Yahoo! acquisition.

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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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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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Social Data in Academic Research

Social Data in Academic Research | Text Analytics | Scoop.it
Stuart Shulman's insight:

Lots of great blog posts at blog.gnip.com after the highly successful 2nd Big Boulder social data conference. 

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Collecting Data from Twitter: Firehose or API?

Collecting Data from Twitter: Firehose or API? | Text Analytics | Scoop.it
In this post we explain the distinction between the streaming API and the search API, and how the sampling methodologies differ.
Stuart Shulman's insight:

More good work from the HMC.

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Sentiment Analysis: The Marketplace and Providers

Short tutorial presentation by Seth Grimes, presented as part of the Practical Sentiment Analysis tutorial on May 7, 2013, prior to the Sentiment Analysis Sympo
Stuart Shulman's insight:

@sethgrimes is the top analyst in the sentiment space

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