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Sentiment Analysis Symposium - Speaker List

Sentiment Analysis Symposium - Speaker List | Text Analytics | Scoop.it

A fine list of speakers for the upcoming sentiment analysis symposium presented by Seth Grimes.

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Discover Topics Stuart Shulman is following
Social Media Content Curation The Google+ Project information analyst Augmented Collective Intelligence Sociological Imagination Data Nerd's Corner
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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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A Brave New World: Thoughts On The Research Now/Vision Critical Partnership

A Brave New World: Thoughts On The Research Now/Vision Critical Partnership | Text Analytics | Scoop.it
Today a clearer vision of the Brave New World of marketing insights emerged through the announcement of the strategic partnership between Research Now and Vision Critical.
Stuart Shulman's insight:

If Lenny says this is a big deal, it probably is.

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Men Are From Google+ And LinkedIn, Women Are From Twitter And Pinterest

Men Are From Google+ And LinkedIn, Women Are From Twitter And Pinterest | Text Analytics | Scoop.it

Historically (and statistically), social media has always skewed slightly favourably towards women, and recent studies suggest that almost three-quarters (71 percent) of internet female users are active on one or more social media sites, compared to slightly less than two-thirds (62 percent) of men. Typically, women are more likely to use Twitter (which has a 62 percent female populous), Facebook (58 percent women) and, of course, Pinterest (70 percent women), whereas men dominate Google+ (64 percent men), LinkedIn (54 percent men) and YouTube (54 percent men).


Via Kelly Lieberman, ABroaderView, malek, Edward Chenard
Stuart Shulman's insight:

Infograph seduction happens...

malek's curator insight, April 26, 9:04 AM

When Mars and Venus go online

Lindsay Wilson's curator insight, April 26, 11:21 AM

Interesting article about how men and wome spend their time on social media

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Use Of Social Media As A Source Of Information | Alex Shaikh Dot Com

Use Of Social Media As A Source Of Information | Alex Shaikh Dot Com | Text Analytics | Scoop.it
Web developing professional with diversified experience in advertising, marketing & SEO.
Stuart Shulman's insight:

Though I am often deriding the role of infographics in the history of information, this one I actually like.

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Gnip Commercial Evolution of Social Networks | Company Blog

Gnip Commercial Evolution of Social Networks | Company Blog | Text Analytics | Scoop.it

The exceptional API is one that has broader social data engagement ecosystem consumption in its DNA. Typical social services consider themselves the center of the universe, and that not only will they capture all consumer engagement, they will be the root of all broader ecosystem engagement as well.

Stuart Shulman's insight:

Kudos to Jud and @Gnip for creating the possiblity for mass #transparency, #engagement, and #insight.

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Gnip Data Stories: Brooke Fisher Liu on Using Social Media in Natural Disasters

Gnip Data Stories: Brooke Fisher Liu on Using Social Media in Natural Disasters | Text Analytics | Scoop.it

During natural disasters people tend to use social media for four interrelated reasons: checking in with family and friends, obtaining emotional support and healing, determining disaster magnitude, and providing first-hand disaster accounts. A consistent research finding is that people are less likely to follow official, government sources on social media than their friends and family during disasters.

Stuart Shulman's insight:

Social media is a global real-time sensor system and the new first draft of history.

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DiscoverText Sweepstakes

DiscoverText Sweepstakes | Text Analytics | Scoop.it

SIOP 2013 DiscoverText Sweepstakes - Win One Free Year of DiscoverText Enterprise Individual Access

Stuart Shulman's insight:

The free trial is for 30 days and includes access to the Gnip-enabled Power Track for Twitter. It should only take 60-90 seconds to sign up. The deadline to sign up is April 19th, 2013 to be entered in this round of sweepstakes.

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5 ways text analytics can enrich your research

5 ways text analytics can enrich your research | Text Analytics | Scoop.it

Text. It’s the gateway to incredible troves of first-person insight, but it can also be the bane of market research. The more text you have access to, the more you can learn — but how can you chew through enough text to get statistically significant results, without spending weeks and weeks on the process?

Stuart Shulman's insight:

Simple techniques that work...

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Strata 2013 attendees to explore big data and the business singularity

Strata 2013 kicks off this week and big data and cloud computing are sure to be major topics of discussion. Find out what else to expect at Strata 2013.
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Joining Vision Critical: Reflections of an Inventor

Joining Vision Critical: Reflections of an Inventor | Text Analytics | Scoop.it
Stuart Shulman's insight:

As of today, DiscoverText is part of a larger company: Vision Critical, a market research technology provider that works with more than a third of the world’s top 100 brands. The thrill of joining a successful and growing firm headquartered in Vancouver is amplified by my pride in what DiscoverText can bring to Vision Critical’s customers, and by my excitement about what we’ll be able to offer our existing customers now that we are part of Vision Critical.

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The Human Algorithm: Redefining the Value of Data | Brian Solis

The Human Algorithm: Redefining the Value of Data | Brian Solis | Text Analytics | Scoop.it

Excerpted from this interesting article by Brian Solis:
"While the amount of personal and ambient information churned out by SoLoMo is often inundating or even perplexing, it is this “big” data that will help businesses evolve and adapt in a new era of connected consumerism. More importantly, the study and understanding of relevant big data will shift organizations from simply reacting to trends to predicting the next disruption and adapting ahead of competition—thus, marking the shift from rigid to adaptive business models.

Without interpretation, insight and the ability to put knowledge to work, any investment in technology and resources is premature. But, by investing in human capital to make sense of would be ominous data, organizations can modernize the role of business intelligence to introduce a human touch.

The reality is though that how organizations connected with customers yesterday is not how customers will be served tomorrow. Meaning, the entire infrastructure in how we market, sell, help, and create now requires companies to not only study data and behavior but also change how it thinks about customers.

I refer to the confluence of data and interpretation as the human algorithm—the ability to humanize technology and data to put a face, personality, and voice to the need and chance for change. Data tells a story, it just needs help finding its rhythm and rhyme.

The human algorithm is part understanding and part communication. The ability to communicate and apply insights internally and externally is the key to unlocking opportunities to earn relevance. Beyond research, beyond intelligence, the human algorithm is a function of extracting insights with intention, humanizing trends ad possibilities and working with strategists to improve and innovate everything from processes to products to overall experiences.

The idea of the human algorithm is to serve as the human counterpart to the abundance of new social intelligence and listening platforms hitting the market every day. Someone has to be on the other side of data to interpret it beyond routine..."

Read full original article here:
http://www.briansolis.com/2012/12/the-human-algorithm-redefining-the-value-of-data/


Via Giuseppe Mauriello
Errol A. Adams JD/MLS's curator insight, December 14, 2012 12:28 PM

Great article...

Philippe Trebaul's curator insight, January 31, 4:57 AM
The Human Algorithm: Redefining the Value of Data | Brian Solis.

 

From www.briansolis.com - December 13, 2012 6:01 PM

 

Excerpted from this interesting article by Brian Solis:
"While the amount of personal and ambient information churned out by SoLoMo is often inundating or even perplexing, it is this “big” data that will help businesses evolve and adapt in a new era of connected consumerism. More importantly, the study and understanding of relevant big data will shift organizations from simply reacting to trends to predicting the next disruption and adapting ahead of competition—thus, marking the shift from rigid to adaptive business models.

Without interpretation, insight and the ability to put knowledge to work, any investment in technology and resources is premature. But, by investing in human capital to make sense of would be ominous data, organizations can modernize the role of business intelligence to introduce a human touch.

The reality is though that how organizations connected with customers yesterday is not how customers will be served tomorrow. Meaning, the entire infrastructure in how we market, sell, help, and create now requires companies to not only study data and behavior but also change how it thinks about customers.

I refer to the confluence of data and interpretation as the human algorithm—the ability to humanize technology and data to put a face, personality, and voice to the need and chance for change. Data tells a story, it just needs help finding its rhythm and rhyme.

The human algorithm is part understanding and part communication. The ability to communicate and apply insights internally and externally is the key to unlocking opportunities to earn relevance. Beyond research, beyond intelligence, the human algorithm is a function of extracting insights with intention, humanizing trends ad possibilities and working with strategists to improve and innovate everything from processes to products to overall experiences.

The idea of the human algorithm is to serve as the human counterpart to the abundance of new social intelligence and listening platforms hitting the market every day. Someone has to be on the other side of data to interpret it beyond routine..."

Read full original article here:
http://www.briansolis.com/2012/12/the-human-algorithm-redefining-the-value-of-data/

 

 

The Human Algorithm: Redefining the Value of Data | Brian Solis | @scoopit via @pinomauriello http://sco.lt/...

Philippe Trebaul's curator insight, February 7, 6:28 PM
L'algorithme de l'homme: Redéfinir la valeur des données | Brian SolisDe www.briansolis.com - Décembre 21, 2012 13:33

Extrait de cet article intéressant par Brian Solis: 
«Bien que la quantité de renseignements personnels et la température ambiante égrenée par SoLoMo est souvent inondé, voire perplexe, c'est ce« gros »des données qui aideront les entreprises évoluent et s'adaptent à une nouvelle ère du consumérisme connecté . Plus important encore, l'étude et la compréhension des données pertinentes grandes organisations se déplacera de se contenter de réagir aux tendances de prédire la rupture prochaine et l'adaptation d'avance sur la concurrence ainsi, marquant le passage d'rigide pour les modèles d'affaires adaptés. Sans interprétation, la perspicacité et la capacité d'appliquer les connaissances acquises, tout investissement dans la technologie et les ressources est prématurée. Mais, en investissant dans le capital humain de donner un sens serait de mauvais augure de données, les entreprises peuvent moderniser le rôle de l'intelligence d'affaires pour introduire une touche humaine. La réalité est cependant que comment les organisations liées aux clients d'hier n'est pas la façon dont les clients seront servis demain. Signification, toute l'infrastructure dans notre façon de commercialiser, de vendre, d'aider et de créer des entreprises exige maintenant que les données de l'étude et le comportement non seulement, mais aussi changer la façon dont il pense les clients. Je me réfère à la confluence des données et l'interprétation que l'algorithme de la capacité humaine à humaniser la technologie et les données de mettre un visage, la personnalité et la voix de la nécessité et de possibilité de changement. Données raconte une histoire, il a juste besoin d'aide pour trouver son rythme et la rime. L'algorithme de compréhension humaine est partie et de la communication une partie. La capacité de communiquer et d'appliquer des connaissances à l'interne et l'externe est la clé pour débloquer des possibilités de gagner leur pertinence. Au-delà de la recherche, au-delà de l'intelligence, l'algorithme humain est une fonction d'extraction des connaissances avec intention , l'humanisation des possibilités tendances publicitaires et de travailler avec les stratèges d'améliorer et d'innover tout de processus pour les produits à des expériences globales. L'idée de l'algorithme de l'homme est de servir l'homologue humain de l'abondance de l'intelligence sociale nouvelle et plates-formes d'écoute arrivent sur le marché chaque jour . Quelqu'un doit être de l'autre côté des données de l'interpréter au-delà de la routine ... »Lire l'article complet originale ici: http://www.briansolis.com/2012/12/the-human-algorithm-redefining-the- Value-of-data /


The Human Algorithm: Redefining the Value of Data | Brian Solis | @scoopit via @ChristianeWa http://sco.lt/...

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Smoking Hot Data and Text Analytics: DiscoverText, Gnip, and the Health Media Collaboratory

We interviewed researchers at the University of Illinois Chicago in the Health Media Collaboratory about their use of DiscoverText and the Gnip-enabled Power Track…...
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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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"Immigration Reform, the Boston Marathon Bombings, and Twitter"

Stuart Shulman's insight:

Important use of DiscoverText for text analytics. Does the Twitter content help us better understand the ebb and flow of an important policy debate? It certainly does, by acting as a real-time global sensor network.

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Sentiment Analysis Symposium - Agenda

Sentiment Analysis Symposium - Agenda | Text Analytics | Scoop.it

Should you attend the May 8 symposium? Yes, if you want to lead the competition — in customer satisfaction and support, brand and reputation management, financial services, product design and marketing, and an array of other business processes — if you seek advantage in understanding customer, market, employee, investor, and political sentiment, emotion, mood, and opinion.

Stuart Shulman's insight:

Looking forward to a great workshop with Bloomberg, PayPal, Gnip and the esteemed host @SethGrimes aka @SentimentSymp

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Sentiment Analysis Symposium

Sentiment Analysis Symposium | Text Analytics | Scoop.it

A big day for sentiment tomorrow in NYC

Stuart Shulman's insight:

I always love the events that @SethGrimes puts together. #topshelf

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How big data will transform politics, education and just about everything else - GeekWire

How big data will transform politics, education and just about everything else - GeekWire | Text Analytics | Scoop.it

Big data requires big thinkers. And some of Seattle’s top minds — from University of Washington computer scientist Oren Etzioni to Context Relevant CEO Stephen Purpura to Amazon.com’s Charlie Bell — turned out this week as Madrona Venture Group hosted a round table discussion on the topic

Stuart Shulman's insight:

Stephen is blazing a trail for all of us.

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Probably not a social movement

Probably not a social movement | Text Analytics | Scoop.it

Italians went to the polls recently producing two results many thought interesting and a bit frightening. There was the resurrection of Berlusconi for the umpteenth time even as he is being investigated for a $3+ million bribe. You cannot hold him down. The second was the emergence of Beppe Grillo as a political leader with lots of votes. Of course, the result that seemed a bit threatening is that there is no majority, and having to produce a government from no majority can seem unsettling.

Stuart Shulman's insight:

A brief research note from the desk of one of my favorite students of Twitter.

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Forget Big Data, Think Mid Data

Forget Big Data, Think Mid Data | Text Analytics | Scoop.it
After attending the American Marketing Association’s first conference on Big Data this week, I’m even more convinced of what I already suspected from speaking to hundreds of Fortune 1000 marketers the last couple of years.
Stuart Shulman's insight:

Tom is right. For many folks we encounter, 10,000 - 50,000 records is #bigdata and requires a set of tools and techniques that are quite different than what is needed for 10s and 100s of millions of items.

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Trial Account Signup

Trial Account Signup | Text Analytics | Scoop.it

A powerful set of online software tools for text analytics. Collect, archive, filter, search & classify text data from surveys, public comment and social media. Free 30-day trial.

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Social Sentiment Takes Center Stage at the May 8, 2013 Sentiment Analysis Symposium in New York

Social Sentiment Takes Center Stage at the May 8, 2013 Sentiment Analysis Symposium in New York | Text Analytics | Scoop.it
The May 8, 2013 Sentiment Analysis Symposium will feature industry-leading speakers and panelists from Bloomberg, IBM, PayPal, Vision Critical, and Westat, start-ups, and academia, covering social ...
Stuart Shulman's insight:

Always a good event. I am excited to present new research on health fear detection at this event.

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Coding Text Using the “QDAP Method”

Coding Text Using the “QDAP Method” | Text Analytics | Scoop.it
We did it! The free, open source, Web-based, university-hosted, FISMA-compliant
Stuart Shulman's insight:

Part one of a three-part essay. Though QDAP-UMass will be closing shop soon, the original Pitt QDAP is going strong, and the QDAP method continues to evolve in my commercial text analytics research and development.

Dr. Guido Möser's curator insight, January 17, 3:10 AM

This is extremely helpful for all scientists in qualitative analyses! And it is open source - you can host your own version on your server.

 

Project Link: http://cat.ucsur.pitt.edu/

 

Quickstart: http://cat.ucsur.pitt.edu/CAT_quickstart_final.pdf

 

SourceForge: http://sourceforge.net/projects/catoolkit/

Stuart Shulman's comment, January 17, 9:16 AM
Dr. Möser - Thanks! ~Stu
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bitly API Documentation

bitly API Documentation | Text Analytics | Scoop.it

Here at bitly, we see about 4 billion clicks a month, and millions of new links a day. We love looking through this enormous set of data to find interesting stuff -- and we're extremely excited to open up some of the system-wide data endpoints we use, for you to build cool things too!

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