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 processingcomputational 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.

Biz Stone finally talks business

Twitter co-founder, and creator of Blogger Mr Biz Stone finally set out a short brief email ( or twemail) on the changes in Twitter’s terms of service.The very concise email is below and an excellent interview with the man is at http://therumpus.net/2009/04/the-rumpus-interview-with-twitter-co-founder-biz-stone/

Incidentally Biz Stone’s inventions are kind of revolutionary in social media – he also founded Blogger ( blogging and micro blogging have done more to confound LarryRank algorithm at Google Search than anyone else).

What does an analytic, data whining blog have to do with social media. Plenty. If you have ever designed a propensity scoring model for targeting customers based on their behavior , more clean data that is identifiable an individual level is always a boon. The current trend for sentiment analysis is simply addition of text keywords ( or categorical variables if you insist) to the existing customer database.

Can adding keywords from blogs, tweets, web searches, TO existing data about you (credit bureau, demographic, purchase behavior)- can this lead to a better lift in the models. Yes.

Will this lead to more privacy debates. Yes. Given the huge volume of text variables, as well as the huge number of potential customers- privacy debates are quite statistically irrational ( but we digress into economics here).

No one is interested in selling just 1 more product. They use people (nicknamed Numerati) for writing queries to append, manipulate data so as to AGGREGATE and then build a model. Only after the models are built are the scores disaggregated AND scored individually- usually in automated manner.

No company is interested in selling to one consumer so they dont stoop at a privacy invasive search of individuals.

Advertsing is not an evil way of making money, Mr Stone. Just Trust Google and the guys who could not complete their Phd because they WERE making money.

What if all maths grads did that- ..and that’s an interesting thought.

Hi,

We’d like to let you know about our new Terms of Service. As Twitter
has evolved, we’ve gained a better understanding of how folks use the
service. As a result, we’ve updated the Terms and we’re notifying
account holders.

We’ve posted a brief overview on our company blog and you can read the
Terms of Service online. If you haven’t been by in a while, we invite
you to visit Twitter to see what else is new.

Overview: http://blog.twitter.com
Terms: http://www.twitter.com/tos
Twitter: http://www.twitter.com

These updates complement the spirit of Twitter. If the nature of our
service changes, we’ll revisit the Terms as necessary. Comments are
welcome, please find the “feedback” link on the Terms of Service page.

Thanks,
Biz Stone, Co-founder
Twitter, Inc.