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Social Media Metrics – 9 Calculations To Tell If Your Twitter and Facebook Marketing Suck

Social Media Metrics – 9 Calculations To Tell If Your Twitter and Facebook Marketing Suck | Text Analytics | Scoop.it
How can you easily measure social media ROI or social media metrics? Call me old school, but I love the envelope when it comes to that question. It’s so
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DiscoverText is well suited to measuring much of this.

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Archive, Search, Filter, Cluster, Human Code & Machine Classify Text
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Publications | DiscoverText

Publications | DiscoverText | Text Analytics | Scoop.it
Scholarly Mentions of DiscoverText FEATURED: Interpreting Hashtag Politics: Policy Ideas in an Era of Social Media Presents of God: The Marketing of
Stuart Shulman's insight:

40+ scholarly mentions of DiscoverText in social media, largely Twitter, research projects.

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What are text analytics?

What are text analytics? | Text Analytics | Scoop.it
Text analytics are computer-assisted techniques for reaching valid and reliable insights about a collection or stream of unstructured (free form) text. We think of all text analytics as, in some se...
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2015 Big Boulder Conference

2015 Big Boulder Conference | Text Analytics | Scoop.it
The annual Big Boulder conference features two jam-packed days of educational sessions, networking events, and outdoor activities all centered around social data. This year's conference will feature session from top social media sources, industry leaders, and premier consumers of publicly-available social data who will discuss trends, best practices, use cases, and the future of the industry.
Stuart Shulman's insight:

I have been to all three Big Boulder conferences and it is definitely one of the most important events of the year if you are in the social media ecosystem as a publisher, vendor, or researcher.

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Social media data collection tools

Social media data collection tools | Text Analytics | Scoop.it
Curated by Deen Freelon, Ph.D. | freelon@american.edu | http://dfreelon.org | @dfreelon

 

This is a list of data collection tools for social media--just Twitter and Facebook for now but I may add additional platforms later. Please add to the list by using the “Comment” function. Each tool is liste...

Stuart Shulman's insight:

Excellent list.

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Will Conversational Speech to Text Translation be the Next Frontier for Big Data?

Will Conversational Speech to Text Translation be the Next Frontier for Big Data? | Text Analytics | Scoop.it
Facebook has announced that they’re testing a new Messenger feature that will translate audio into text, to appear alongside sent audio files. The functionality’s only been made available to a sm…
Stuart Shulman's insight:

Endless possibilities for good and for ill.

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Twitter to invest $10M in MIT social-media research lab - San Francisco Business Times

Twitter to invest $10M in MIT social-media research lab - San Francisco Business Times | Text Analytics | Scoop.it
The new initiative, based at the MIT Media Lab, will focus on the development of new technologies to make sense of semantic and social patterns across the broad span of public mass media, social media, data streams and digital content.

Via Silvia Pernsteiner, Heather James
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Sending a ripple of serious data envy through the #Twitter research world...

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Data Science for Social Good - University of Chicago - Eric & Wendy Schdmit

Data Science for Social Good - University of Chicago - Eric & Wendy Schdmit | Text Analytics | Scoop.it
The Eric & Wendy Schmidt Data Science for Social Good fellowship is a University of Chicago summer program for aspiring data scientists to work on data mining, machine learning, big data, and data science projects with social impact.
Stuart Shulman's insight:

Looks like a worthy cause and a talented team.

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Twitter for research: Conference in Lyon, 2015

Twitter for research: Conference in Lyon, 2015 | Text Analytics | Scoop.it
First conference on using Twitter for Academic Research. 24 April 2015 in Lyon, France
Stuart Shulman's insight:

Excited to participate in a #Twitter research conference in France next April. There will be a pre-conference DiscoverText workshop.

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Helping Jakarta track flooding in real time to save more lives | Twitter Blogs

Helping Jakarta track flooding in real time to save more lives | Twitter Blogs | Text Analytics | Scoop.it
PetaJakarta.org uses Twitter data and community participation to increase public safety during floods.
Stuart Shulman's insight:

Great use of a Twitter #datagrant

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DRAFT: Code of Ethics & Standards for Social Data

DRAFT: Code of Ethics & Standards for Social Data | Text Analytics | Scoop.it
[PDF version: FINAL DRAFT Code of Ethics for Social Data] PREAMBLE Social media offers an unprecedented set of opportunities and responsibilities for individuals and organizations. For individuals,...
Stuart Shulman's insight:

This is still a work in progress. The @bbi Board and members would like to hear your thoughts on v2. 

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Building a complete Tweet index | Twitter Blogs

Building a complete Tweet index   | Twitter Blogs | Text Analytics | Scoop.it
Today, we are pleased to announce that Twitter now indexes every public Tweet since 2006. Since that first simple Tweet over eight years ago, hundreds of billions of Tweets have captured everyday h...
Stuart Shulman's insight:

A massive achievement. Hats off to @TwitterEng for this amazing upgrade to the advanced Twitter search.

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Big Boulder Initiative Workshop

Big Boulder Initiative Workshop | Text Analytics | Scoop.it

The Big Boulder Initiative is excited to host a half-day workshop to advance work on the draft Code of Ethics (http://bit.ly/1oZ7Isr), which was first presented at the recent Big Boulder conference. Please join us from 12-5 PM in Boston on October 14th for a thought-provoking and collaborative session that will produce a final published code of ethics we can all stand behind. 

Stuart Shulman's insight:

A great opportunity to shape a code of ethics for the social data industry.

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Sifter FAQ – Texifter

Sifter FAQ – Texifter | Text Analytics | Scoop.it

This page has information about using Sifter to license data from the complete, undeleted history of Twitter. Many first time Sifter users assume they are buying direct access to the data. In fact, Sifter is a tool that allows you to license the data for analysis on DiscoverText in compliance with the Twitter Terms of Service. 

Stuart Shulman's insight:

Many powerful historical Twitter filters here via the Gnip PowerTrack.

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Twitter for Research 2015

Twitter for Research 2015 | Text Analytics | Scoop.it
Program of the first conference on using Twitter for Academic Research. 24 April 2015 in Lyon, France
Stuart Shulman's insight:

Excellent program for #twlyon2015 and I will be teaching a pre-conference workshop on collecting and cleaning #Twitter data.

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Career Spotlight: What I Do as a Data Scientist

Career Spotlight: What I Do as a Data Scientist | Text Analytics | Scoop.it
The signal biggest misconception in data science is that it's all about "algorithms." I constantly run into people and would-be data scientists who think our work is about deciding between a neural net and a support vector machine. In truth, data science begins by translating a business case into an analytics agenda. Much more time is spent developing hypotheses, understanding data, exploring patterns, and measuring impact than selecting algorithms.

Via Carla Gentry CSPO
Stuart Shulman's insight:

Could not agree more...it takes a hungry mind.

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Carla Gentry CSPO's curator insight, February 10, 9:29 PM

Two tips make life doing data science easier for our teams: First, keeping an internal blog where daily results (even with visuals) are quickly recorded. These aren't formal write ups, but casual documentation of insights over time that support a common understanding of insights and data across data science, project managers, etc. It also supports other scientists looking at the same data in later months.

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Testimonials | discovertext

Testimonials | discovertext | Text Analytics | Scoop.it
SaaS tools for social data and text analytics research. Search, filter, cluster, human code, and machine classify text and metadata. Machine-learning tools for text. Capture Twitter, Facebook, Tumblr, and other free or premium social data feeds.
Stuart Shulman's insight:

Could all these folks be wrong?

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Gnip Geo Enhancements for Twitter Data Live in DiscoverText

Gnip Geo Enhancements for Twitter Data Live in DiscoverText | Text Analytics | Scoop.it

In a continuing effort to create the best possible methods to sample Twitter data, we testing out a number of Gnip geographical encements. For a limited time, all of the“profile” PowerTrack rules are live. You can add them to your feed fetch queries in DiscoverText greatly increase the amount and granularity of the geographical specificity in the results. We invite you to get onto our 30-day free trial and let us know if this is a feature we should make a permanent part of DiscoverText.

Stuart Shulman's insight:

As always, the more people testing the better. We would really like to hear feedback about whether this geo enhancement makes Twitter data more valuable for researchers.

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Scholarly Mentions of DiscoverText

Scholarly Mentions of DiscoverText | Text Analytics | Scoop.it

There are now 40+ scholarly mentions of the role DiscoverText plays in research. We find them on Google scholar...Scholarly mentions of the tools and your methods help new DiscoverText users locate best practices and will lead to greater citation of your work in new literature.

Stuart Shulman's insight:

Years of supporting academic research starting to pay off.

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Twitter for Research 2015 - Program Committee

Twitter for Research 2015 - Program Committee | Text Analytics | Scoop.it
Program committee for the first conference on using Twitter for Academic Research. 24 April 2015 in Lyon, France
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There will be a per-conference DiscoverText tutorial with the obligatory teaching of the "Five Pillars of Text Analytics"

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Data | discovertext

Data | discovertext | Text Analytics | Scoop.it
SaaS tools for social data and text analytics research. Search, filter, cluster, human code, and machine classify text and metadata. Machine-learning tools for text. Capture Twitter, Facebook, Tumblr, and other free or premium social data feeds.
Stuart Shulman's insight:

Lots of free social media data using point and click tools. Educators who want to run social media experiments can design a month-long lesson plan around collaborative use of the free trial accounts.

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The 5 Best Integrations to Help Analyze Your SurveyMonkey Data

The 5 Best Integrations to Help Analyze Your SurveyMonkey Data | Text Analytics | Scoop.it
Check out the 5 best survey analysis tools to analyze your SurveyMonkey data. These handy API options make statistical and text analysis easy!
Stuart Shulman's insight:

DiscoverText engineers are proud to be one of the five best #analytics integrations with @surveymonkey

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Historical Twitter Prize Drawing

Historical Twitter Prize Drawing | Text Analytics | Scoop.it

We need beta testers to close out our first year of new product development. 

Stuart Shulman's insight:

We will award five equal prizes in December. The winners will be able to get new estimates for up to 3 Twitter days and no more than 200,000 tweets. Texifter will pay the license fees and the winners will have access to the data in gratis DiscoverText Enterprise accounts for 90 days.

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Twitter Search Index Update

A 2-minute introduction to the new Twitter search that goes back to the dawn of Twitter time.
Stuart Shulman's insight:

My take on why this is great.

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Times Data Scientist Highlights Importance of User Data | News | The Harvard Crimson

Times Data Scientist Highlights Importance of User Data | News | The Harvard Crimson | Text Analytics | Scoop.it
Wiggins said that a good data scientist needs interpersonal skills because the ability to communicate ideas is crucial to getting any job done. Moreover, a data scientist should strive to build models that are “both predictive and interpretable” and constantly engage in critical thinking, he said.

Audience members said they found the lecture informative.

“It was interesting to learn how a print media company that has turned to an experiment in digital media wants to learn more about its users and how they can better serve them,” said Justin Ellis, a staff member at the Nieman Journalism Lab.

Via Carla Gentry CSPO
Stuart Shulman's insight:

I have seen Mr. Higgins speak and he is a great example of the cross-disciplinary data scientist who performs significant acts of translation.

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Carla Gentry CSPO's curator insight, November 3, 2014 9:24 AM

the role of a data scientist is especially important in an age in which the journalism industry is adjusting to fast-paced changes to its business model, driven in part by a decline in advertising revenue for print media.