WOW, just got back from the SAS Users Group meeting, SAS Global Forum 2010. What makes SAS Global Forum (SGF) so special are the people, the networking and the conversations. Because of the conversations I have with customers and the papers that are presented, SGF is very informative, and talking to customers, getting reacquainted with customers I’ve seen met previously and meeting new customers is always exciting to me. But SGF10 is going to be hard to beat.
Faisal Dosani in his Blog My Little Piece of the Internet
said it best:
After 4 days of learning, listening and sharing knowledge SAS Global forum is over
I have to say it was an awesome conference this time around and there were some really interesting topics.
Faisal goes on to discuss some papers he went to, thanks for the review Faisal, he also gives a good amount to coverage to SAS’ new offering, SAS Social Media Analytics
SAS launched SAS Social Media Analytics; the new Customer Intelligence blog—Get, Grow, Keep
—has great information about the launch of SAS Social Media Analytics and how it uses SAS Text Analytics
, and a great amount of information on SAS Global Forum.
Social Media involves a lot of Text Analytics, one reason I was really busy talking to people, and I missed the presentations I was hoping to go see.
There is a lot to Text Analytics. For a great overview, sign up and attend Text Analytics 101
Webinar on Wednesday Apr 21st, by Kathy Lang and Fiona McNeil.
Oddly enough my paper “The Twitter Conversation – Analyzing Twitter” was a very appropriate and timely topic. In the paper I compare looking at topics on Twitter to attending a conference, like SGF. Why? Because everyone is talking about various things, from the latest paper to the best resteraunt in Seattle, but they all have one thing in common: they are mentioning things about SGF, even if it is reconnecting and meeting new people and talking about shared interests.
This year my paper really reflected what was going at the conference. I got to talk to some really great people. I am always amazed at how smart, and ingenious people are. I get to hear the problems customers are trying to solve; the things I hear that people want to do with Text Analytics, to quote Faisal again, is awesome. So just like Twitter, I am going to let you listen in on a little bit of the conversation:
Improve healthcare by looking at medical records
: The analysis of what people are saying to their doctors, what the actual effects are, based on structured data. How does Sentiment Analysis play a role in medicine? What are other factors influencing healthcare and categorizing that information?
The use of search to find the proper information:
How can ontology and search help my people improve their information retrieval? We have problems finding what we need and many times there is information out there that we miss, because we don’t know what to ask. Ontology to the rescue, I say.
Understanding collaborative networks within and outside the organization:
The use of log files from IT systems, reports, help desk information and social media, both internal and external. It's an interesting twist and uses Content Categorization, Sentiment Analysis and Text Mining, not to mention other SAS products like Social Link Analysis.
Discover topics of research from disjointed areas: “If I know what group of people are working on topics that could help from collaboration then bringing the people together can really help all parties...”
And this is only a fraction of what people are talking about when they refer to Text Analytics.
In my paper I talked about understanding influencers by how focused they are on the topic of interest. And these customers were not only focused on Text Analytics they were passionate about it.
I can’t wait to connect with them and have them be a part of the Text Analytics “re-tweet network”…OK, to understand that comment see the paper, The Twitter Conversation – Analyzing Twitter
, my plug for Text Analytics everywhere.