Tag: twitter

September Roundup by Revolution

From the monthly newsletter- which I consider quite useful for keeping updated on application of R

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Revolution News
Every month, we’ll bring you the latest news about Revolution’s products and events in this section. Follow us on Twitter at @RevolutionR for up-to-the-minute news and updates from Revolution Analytics!

Revolution R Enterprise 4.0 for Windows now available. Based on the latest R 2.11.1 and including the RevoScaleR package for big-data analysis in R, Revolution R Enterprise is now available for download for Windows 32-bit and 64-bit systems. Click here to subscribe, or available free to academia.

New! Integrate R with web applications, BI dashboards and more with web services. RevoDeployR is a new Web Services framework that integrates dynamic R-based computations into applications for business users. It will be available September 30 with Revolution R Enterprise Server on RHEL 5. Click here to learn more.

Free Webinar, September 22: In a joint webinar from Revolution Analytics and Jaspersoft, learn how to use RevoDeployR to integrate advanced analytics on-demand in applications, BI dashboards, and on the web. Register here.

Revolution in the News: SearchBusinessAnalytics.com previews the forthcoming Revolution R GUI; Channel Register introduces RevoDeployR, while IT Business Edge shows off the Web Services architecture; and ReadWriteWeb.com looks at how RevoScaleR tackles the Big Data explosion.

Inside-R: A new site for the R Community. At www.inside-R.org you’ll find the latest information about R from around the Web, searchable R documentation and packages, hints and tips about R, and more. You can even add a “Download R” badge to your own web-page to help spread the word about R.

R News, Tips and Tricks from the Revolutions blog
The Revolutions blog brings you daily news and tips about R, statistics and open source. Here are some highlights from Revolutions from the past month.

R’s key role in the oil spill response: Read how NIST’s Division Chief of Statistical Engineering used R to provide critical analysis in real time to the Secretaries of Energy and the Interior, and helped coordinate the government’s response.

Animating data with R and Google Earth: Learn how to use R to create animated visualizations of geographical data with Google Earth, such as this video showing how tuna migrations intersect with the location of the Gulf oil spill.

Are baseball games getting longer? Or is it just Red Sox games? Ryan Elmore uses nonparametric regression in R to find out.

Keynote presentations from useR! 2010: the worldwide R user’s conference was a great success, and there’s a wealth of useful tips and information in the presentations. Video of the keynote presentations are available too: check out in particular Frank Harrell’s talk Information Allergy, and Friedrich Leisch’s talk on reproducible statistical research.

Looking for more R tips and tricks? Check out the monthly round-ups at the Revolutions blog.

Upcoming Events
Every month, we’ll highlight some upcoming events from R Community Calendar.

September 23: The San Diego R User Group has a meetup on BioConductor and microarray data analysis.

September 28: The Sydney Users of R Forum has a meetup on building world-class predictive models in R (with dinner to follow).

September 28: The Los Angeles R User Group presents an introduction to statistical finance with R.

September 28: The Seattle R User Group meets to discuss, “What are you doing with R?”

September 29: The Raleigh-Durham-Chapel Hill R Users Group has its first meeting.

October 7: The NYC R User Group features a presentation by Prof. Andrew Gelman.

There are also new R user groups in Singapore, Seoul, Denver, Brisbane, and New Jersey.  Please let us know if we’re missing your R user group, or if want to get a new one started.

———————————————————————————————-Editor

David Smith, VP Marketing
david@revolutionanalytics.com
Twitter: @revodavid

subscribe here for Revo’s Monthly newsletter-

Sharing WordPress.com Blog Articles

Suppose you want to customize your blog shares to add one more service (apart from Facebook, Twitter etc)

Here is an example on creating a new share service – We are creating a blog share button for Hacker News at http://news.ycombinator.com/

See screenshot below-

Navigate there – by logging onto your wordpress.com account,

left margin bottom (Settings- Sharing)

Now on Add Service-

We put Service Name as

Hacker News (or you can put it as Y Combinator)

on URL Dropdown

Put it as- Copy and Paste Exactly

http://news.ycombinator.com/submitlink=&t=%post_title%+&u=%post_url%

On Icon URL

http://ycombinator.com/images/yc500.gif

Note there is no need for an Excerpt if you adding URL to Hacker News -so we can put it as blank

And now share all you want, wordpress.com hackers 😉

Tale of Two Apps

Whom to follow on Twitter- Google Follow Finder vs Twitter’s own Twitter Suggests

http://followfinder.googlelabs.com/search?user=decisionstats

vs

http://twitter.com/invitations/twitter_suggests

(Twitter Suggests thinks I like following celebrities- Cricketers and Bollywood Stars- while Google Friend Follow (a Google Labs App- thinks I like to follow Data Techies)

Google Wins!

Open Source Business Intelligence: Pentaho and Jaspersoft

Here are two products that are used widely for Business Intelligence_ They are open source and both have free preview.

Jaspersoft-For the Enterprise version click on the screenshot while for the free community version you can go to

http://jasperforge.org/projects/jasperserver

Interestingly (and not surprisingly) Revolution Analytics is teaming up with Jaspersoft to use R for reporting along with the Jaspersoft BI stack.

ADVANCED ANALYTICS ON DEMAND IN APPLICATIONS, IN DASHBOARDS, AND ON THE WEB

FREE WEBINAR WEDNESDAY, SEPTEMBER 22ND @9AM PACIFIC

DEPLOYING R: ADVANCED ANALYTICS ON DEMAND IN APPLICATIONS, IN DASHBOARDS, AND ON THE WEB

A JOINT WEBINAR FROM REVOLUTION ANALYTICS AND JASPERSOFT

Date: Wednesday, September 22, 2010
Time: 9:00am PDT (12:00pm EDT; 4:00pm GMT)
Presenters: David Smith, Vice President of Marketing, Revolution Analytics
Andrew Lampitt, Senior Director of Technology Alliances, Jaspersoft
Matthew Dahlman, Business Development Engineer, Jaspersoft
Registration: Click here to register now!

R is a popular and powerful system for creating custom data analysis, statistical models, and data visualizations. But how can you make the results of these R-based computations easily accessible to others? A PhD statistician could use R directly to run the forecasting model on the latest sales data, and email a report on request, but then the process is just going to have to be repeated again next month, even if the model hasn’t changed. Wouldn’t it be better to empower the Sales manager to run the model on demand from within the BI application she already uses—daily, even!—and free up the statistician to build newer, better models for others?

In this webinar, David Smith (VP of Marketing, Revolution Analytics) will introduce the new “RevoDeployR” Web Services framework for Revolution R Enterprise, which is designed to make it easy to integrate dynamic R-based computations into applications for business users. RevoDeployR empowers data analysts working in R to publish R scripts to a server-based installation of Revolution R Enterprise. Application developers can then use the RevoDeployR Web Services API to securely and scalably integrate the results of these scripts into any application, without needing to learn the R language. With RevoDeployR, authorized users of hosted or cloud-based interactive Web applications, desktop applications such as Microsoft Excel, and BI applications like Jaspersoft can all benefit from on-demand analytics and visualizations developed by expert R users.

To demonstrate the power of deploying R-based computations to business users, Andrew Lampitt will introduce Jaspersoft commercial open source business intelligence, the world’s most widely used BI software. In a live demonstration, Matt Dahlman will show how to supercharge the BI process by combining Jaspersoft and Revolution R Enterprise, giving business users on-demand access to advanced forecasts and visualizations developed by expert analysts.

Click here to register for the webinar.

Speaker Biographies:

David Smith is the Vice President of Marketing at Revolution Analytics, the leading commercial provider of software and support for the open source “R” statistical computing language. David is the co-author (with Bill Venables) of the official R manual An Introduction to R. He is also the editor of Revolutions (http://blog.revolutionanalytics.com), the leading blog focused on “R” language, and one of the originating developers of ESS: Emacs Speaks Statistics. You can follow David on Twitter as @revodavid.

Andrew Lampitt is Senior Director of Technology Alliances at Jaspersoft. Andrew is responsible for strategic initiatives and partnerships including cloud business intelligence, advanced analytics, and analytic databases. Prior to Jaspersoft, Andrew held other business positions with Sunopsis (Oracle), Business Objects (SAP), and Sybase (SAP). Andrew earned a BS in engineering from the University of Illinois at Urbana Champaign.

Matthew Dahlman is Jaspersoft’s Business Development Engineer, responsible for technical aspects of technology alliances and regional business development. Matt has held a wide range of technical positions including quality assurance, pre-sales, and technical evangelism with enterprise software companies including Sybase, Netonomy (Comverse), and Sunopsis (Oracle). Matt earned a BA in mathematics from Carleton College in Northfield, Minnesota.


The second widely used BI stack in open source is Pentaho.

You can download it here to evaluate it or click on screenshot to read more at

http://community.pentaho.com/

http://sourceforge.net/projects/pentaho/files/Business%20Intelligence%20Server/

SAS Sentiment Analysis wins Award

From Business Wire, the new Sentiment Analysis product by SAS Institute (created by acquisition Teragram ) wins an award. As per wikipedia

http://en.wikipedia.org/wiki/Sentiment_analysis

Sentiment analysis or opinion mining refers to a broad (definitionally challenged) area of natural language processing, computational linguistics and text mining. Generally speaking, it aims to determine the attitude of a speaker or a writer with respect to some topic. The attitude may be their judgment or evaluation (see appraisal theory), their affective state (that is to say, the emotional state of the author when writing) or the intended emotional communication (that is to say, the emotional effect the author wishes to have on the reader).

It was developed by Teragram. Here is another Sentiment Analysis tool from Stanford Grad school at http://twittersentiment.appspot.com/search?query=sas

See-

Sentiment analysis for sas

–

Image Citation-

http://threeminds.organic.com/2009/09/five_reasons_sentiment_analysi.html

Read an article on sentiment analysis here at http://www.nytimes.com/2009/08/24/technology/internet/24emotion.html

And the complete press release at http://goo.gl/iVzf`

–SAS Sentiment Analysis delivers insights on customer, competitor and organizational opinions to a degree never before possible via manual review of electronic text. As a result, SAS, the leader in business analytics software and services, has earned the prestigious Communications Solutions Product of the Year Award fromTechnology Marketing Corporation (TMC).

“SAS has automated the time-consuming process of reading individual documents and manually extracting relevant information”

“SAS Sentiment Analysis has shown benefits for its customers and it provides ROI for the companies that use it,” said Rich Tehrani, CEO, TMC. “Congratulations to the entire team at SAS, a company distinguished by its dedication to software quality and superiority to address marketplace needs.”

Derive positive and negative opinions, evaluations and emotions

SAS Sentiment Analysis’ high-performance crawler locates and extracts sentiment from digital content sources, including mainstream websites, social media outlets, internal servers and incoming news feeds. SAS’ unique hybrid approach combines powerful statistical techniques with linguistics rules to improve accuracy to the detailed feature level. It summarizes the sentiment expressed in all available text collections – identifying trends and creating graphical reports that describe the expressed feelings of consumers, partners, employees and competitors in real time. Output from SAS Sentiment Analysis can be stored in document repositories, surfaced in corporate portals and used as input to additional SAS Text Analytics software or search engines to help decision makers evaluate trends, predict future outcomes, minimize risks and capitalize on opportunities.

“SAS has automated the time-consuming process of reading individual documents and manually extracting relevant information,” said Fiona McNeill, Global Analytics Product Marketing Manager at SAS. “Our integrated analytics framework helps organizations maximize the value of information to improve their effectiveness.”

SAS Sentiment Analysis is included in the SAS Text Analytics suite, which helps organizations discover insights from electronic text materials, associate them for delivery to the right person or place, and provide intelligence to select the best course of action. Whether answering complex search-and-retrieval questions, ensuring appropriate content is presented to internal or external constituencies, or predicting which activity or channel will produce the best effect on existing sentiments, SAS Text Analytics provides exceptional real-time processing speeds for large volumes of text.

SAS Text Analytics solutions are part of the SAS Business Analytics Framework, backed by the industry’s most comprehensive range of consulting, training and support services, ensuring customers maximum return from their IT investments.

Recognizing vision

The Communications Solutions Product of the Year Award recognizes vision, leadership and thoroughness. The most innovative products and services brought to the market from March 2008 through March 2009 were chosen as winners of this Product of the Year Award and are published on the INTERNET TELEPHONY and Customer Interaction Solutions websites.

Software- Appls and Bugs

Some time ago I had written on a Twitter application bubble (actually it was a year ago here at https://decisionstats.wordpress.com/2009/04/05/tweets-viruses-and-bubbles/)

The automatic Twitter follow /unfollow (or atleast the automated unfollow ) was used by Twitter App Refollow.com (which is quite old- so it was a surprise when Twitter blamed the recent 0 followers 0 floowing on a bug which allows automated following) and the RSS automated reader is used by Twitterfeed.com (among others). I accidently created/revealed a bug in 2009  with the hash command #rstats which is used as a search index in twitter’s search engine) when I basically married a lot of RSS feeds pertaining to R and added the #rstats with them to the alternative twitter handle (Rarchive) . I did the same with the #sas with Sascommunity (which I later donated on request back to that community sascommunity.org). Basically this had the temporary effect of skewing search results for these search terms for a day (till Twitter fixed it).

As Twitter evolves from a well funded startup to a business- and tries to become more structured from chaotic flux, such bugs will continue to evolve. Bugs and especially software bugs are meant to be fixed (or squashed). This by no means should be a relection on the health of the software service (here- Twitter). Indeed the biggest worry is a mainstream software that has no flexibility for creative third party applications and thinks that it is bug-free. Perfect software exists in a perfect world- and delusional perfection can be dangerous thinking especially for software with clients (even more for statistical software).

Which stats softwares are you using and how confident you are that the bugs are being resolved openly?