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Text Analytics
Archive, Search, Filter, Cluster, Human Code & Machine Classify Text
Curated by Stuart Shulman
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Sentiment Analysis Symposium

Sentiment Analysis Symposium | Text Analytics | Scoop.it

The Sentiment Analysis Symposium is being organized and produced by Alta Plana Corporation. Alta Plana was founded by Seth Grimes in 1997 to deliver business analytics strategy consulting and implementation services with a focus on advanced analytics: BI, text mining, data visualization, analytical databases, and complex event processing.

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Interview with the World’s First Music Data Journalist – Liv Buli

Interview with the World’s First Music Data Journalist – Liv Buli | Text Analytics | Scoop.it
Interview with Liv Buli of Next Big Sound, the world's first music data journalist about her work and the path that led her to NBS.
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DiscoverText.com - Our Solution

DiscoverText.com - Our Solution | Text Analytics | Scoop.it

A powerful set of online software tools for text analytics. Collect, archive, filter, search & classify text data from surveys, public comments and social media. Free 14-day trial.

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QDAP - Qualitative Data Analysis Program

QDAP - Qualitative Data Analysis Program | Text Analytics | Scoop.it
Accurate and reliable coding using computers is central to the qualitative research process. Experienced QDAP coders and project managers deliver the large-scale, value-added annotated data you need in a timely and expert manner.
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Rumi Chunara on Identifying Epidemics With Social Data

Rumi Chunara on Identifying Epidemics With Social Data | Text Analytics | Scoop.it
An interview with Rumi Chunara on her work using social data to identify epidemics and outbreaks of cholera.
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Sources of Social Media Data

Sources of Social Media Data | Text Analytics | Scoop.it
Receive data from Twitter, Facebook, YouTube, and dozens more sources, all from the Gnip API. Full source list here.
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Shout Out to Boston New Tech Meetup #BNT19

Shout Out to Boston New Tech Meetup #BNT19 | Text Analytics | Scoop.it
Founder & CEO Stu Shulman taught the crowd a few things about human coding and machine classifiers, which prompted the question from the audience, “does the CIA know about this?”
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From wine picks to stocks

From wine picks to stocks | Text Analytics | Scoop.it

Could the ‘big data’ geeks at newly-formed Context Relevant predict the future?


Via Stewart Townsend
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Lightning Talk: Political Sentiment Analysis, Dr. Stuart W. Shulman, Texifter

A May 8, 2012 Sentiment Analysis Symposium (http://sentimentsymposium.com) lightning talk: Political Sentiment Analysis, Dr. Stuart W. Shulman, Texifter.
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Who Will Attend? | Text Analytics Summit East | Text Analytics News

Who Will Attend? | Text Analytics Summit East | Text Analytics News | Text Analytics | Scoop.it

Text Analytics is now a well-known commodity that is being used across many business and industries. The Text Analytics Summit continues to grow every year along with the industry, attracting new IT professionals and businessmen, while maintaining a loyal delegate base that keeps coming back year after year.

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Election Analytics: Romney Trends in April

Election Analytics: Romney Trends in April | Text Analytics | Scoop.it
Throughout April, millions of individuals utilized social media to express their feelings about this heated Republican primary race as well as about specific Republican candidates. So as April ultimately became the month during which Romney’s nomination solidified, the question on many minds is: will Conservatives, Independents, and undecideds coalesce around the moderate Romney?
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Exporting TopMeta

Exporting TopMeta | Text Analytics | Scoop.it

When you import either your own data or live social media feeds into DiscoverText, that data often includes various “metadata,” providing a wealth of revealing information about the Tweet, Facebook post, public comment, or survey response you will be analyzing. “TopMeta Explorer” is the function in DiscoverText that allows you to view the number of most (or least) frequently occurring metadata items and filter your data according to that metadata.

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Gnip | Twitter PowerTrack Operators

Gnip | Twitter PowerTrack Operators | Text Analytics | Scoop.it

A Power Track stream is configured with a set of rules. First, you add rules to the feed through the Rules API or the web interface on a Gnip data collector. Power Track will deliver in one aggregated stream all activities that match the defined rules.

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Twitter Unveils the Twindex, a New Political Index

Twitter Unveils the Twindex, a New Political Index | Text Analytics | Scoop.it
Twitter unveiled a new polling feature Wednesday called the Twitter Political Index, or Twindex, that monitors political sentiment on Twitter.
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The Social Cocktail, Part 3: Many Publishers Build One Story

The Social Cocktail, Part 3: Many Publishers Build One Story | Text Analytics | Scoop.it
A look at the JPMorgan trading loss through five different social media publishers and why using more than one source matters.
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Welcome to the Coding Analysis Toolkit (CAT)

Welcome to the Coding Analysis Toolkit (CAT) | Text Analytics | Scoop.it

CAT is a free service of the Qualitative Data Analysis Program (QDAP), and hosted by the University Center for Social and Urban Research, at the University of Pittsburgh, and QDAP-UMass, in the College of Social and Behavioral Sciences, at the University of Massachusetts Amherst.

 

What can you do in CAT?

+ Efficiently code raw text data sets
+ Annotate coding with shared memos
+ Manage team coding permissions via the Web
+ Create unlimited collaborator sub-accounts
+ Assign multiple coders to specific tasks
+ Easily measure inter-rater reliability
+ Adjudicate valid & invalid coder decisions
+ Report validity by dataset, code or coder
+ Export coding in RTF, CSV or XML format
+ Archive or share completed projects

+ CAT is now an open source project!

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Social Data & Tools to Use It

Social Data & Tools to Use It | 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 14-day trial.
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GNIP Power Track Access

GNIP Power Track Access | Text Analytics | Scoop.it

The GNIP Power Track allows users to run a search where GNIP guarantees all responsive Tweets will be harvested. The metadata available via the GNIP PowerTrack feeds will allow users to make deeper and more insightful inferences about their data.

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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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SGI Analyses Full Text Content Of English Edition Of Wikipedia

SGI Analyses Full Text Content Of English Edition Of Wikipedia | Text Analytics | Scoop.it

"SGI, the trusted leader in technical computing has partnered with Kalev H. Leetaru of the University of Illinois to create the first-ever historical mapping and exploration of the full text contents of the English-language edition of Wikipedia, in time and space. The results include visualisations of modern history captured in under a day utilising in-memory data-mining techniques."


Via Metrinomics, Lutz
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Context Relevant

Context Relevant | Text Analytics | Scoop.it

Context Relevant sells an extremely high throughput Big Data analytics application that allows enterprise analysts and statisticians to perform at the level of a team of Big Data scientists.

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NYT: Big Data Troves Stay Forbidden

Huge repositories of data collected by Internet companies are not accessible to scientists, leading some to complain that studies based on these data can't be peer-reviewed.
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HR Analytics at #IHRIMconf

HR Analytics at #IHRIMconf | Text Analytics | Scoop.it

One of the big discoveries for us is that many firms, large and small, shy away from asking open-ended questions in the employee engagement surveys. The reason? They cannot imagine going through thousands or tens of thousands of responses by hand.

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