A May 8, 2012 Sentiment Analysis Symposium (http://sentimentsymposium.com) lightning talk: Political Sentiment Analysis, Dr. Stuart W. Shulman, Texifter. A demo video that shows how to use the new GNIP-enabled "Bio_Contains" rule to find inportant Tweets and Twitter users. 
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. 
The popularity of these sites in China is critically important for companies looking to engage the vast and increasingly affluent online audience that uses social media as a vital source of information for brand and product decisions. The social-media landscape in China is a complex environment at huge scale. 
David Weinberger writes, "Harvard University has today put into the public domain (CC0) full bibliographic information about virtually all the 12M works in its 73 libraries. This is (I believe) the largest and most comprehensive such contribution. Via Mariusz Leś 
Ambition. It’s the one word that kept coming up in conversations I had around the halls today at Facebook’s F8 event. Whenever I heard that word it was clear we were talking about Mark Zuckerberg and Facebook. Compared to last week’s weak moves by Twitter, where its CEO barely even announced anything, yesterday’s moves by Facebook were huge. 
All companies are grappling to manage exploding amounts of data gathered from transactional systems, mobile devices, the Internet and social networks. 
Ultimately, the relationship between the decreasing Islamist rhetoric about Russians in the region and the increasing Russian intervention in Syria merits further study, as it will shed light on the probability of conflict between those two influences. Text Analytics can serve a critical purpose here, as sentiment analyses and further topic modeling will be essential for predicting the behavior of states and non-state actors in a time of great geopolitical change in Syria and the region. 
The DiscoverText API uses standard JSON for all object output and conforms to the oAuth 1.0 standard for authentication to ensure your data is safe. More information can be found on the DiscoverText API Documentation website. 
On March 19, 2012, the Centers for Disease Control and Prevention (CDC) launched Tips from Former Smokers. This campaign was the CDC’s largest anti-smoking campaign ever and its first national advertising effort. The campaign will last four months and consist of both traditional and social media. The Health Media Collaboratory at the University of Illinois at Chicago, directed by Sherry Emery, PhD, will measure and evaluate a key social media component of the campaign—its Twitter reach and impact. 
The Text Analytics Summit, a staple of the text analytics community for the past 8 years, creates meaningful networking opportunities, promotes forward-thinking knowledge sharing, and fosters strong, long-lasting business relationships. 
We are experimenting with the new “Disqus” API in house. In this video, I show results from a 5-day query against the public API for the term Syria. The 50,000+ results are drawn from a variety of mass media discussion boards, including Al Jazeera, Fox News & CNN. How to use DiscoverText to build a social media sifter. In this example, how to distinguish social media about Avon the Company for Women from other references to Avon the town and other named entities. |
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. 
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? 
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. 
A fine list of speakers for the upcoming sentiment analysis symposium presented by Seth Grimes. 
Retailers aren’t the only ones struggling to meet the demands of the digital revolution. 
There are a handful of innovative tools that have incorporated multilingual processing tools into their SMA offering, allowing an organization to pick one tool that can monitor multiple languages. Si, señora. 
Text analytics software is rapidly becoming mainstream. Why? Just think about all of the data that your company creates internally and all of the data that is available to you from external sources. A large majority of this data is unstructured text. More and more, companies are coming to realize that they need a way to analyze and make use of this data so they can make better decisions for competitive advantage. 
The Office of the Director of National Intelligence (ODNI) is building a computer system capable of automatically analyzing the massive quantities of data gathered across the entire intelligence community and extracting information on specific... 
I've been experimenting with our machine translation beta and the new Sina Weibo feed. 
We started the process by using DiscoverText to source and analyze related social media. We filtered those findings through our Culture Mapping process.
We’ve found DiscoverText to be an engine that lets us get in and dig. It’s what you’re trained to do as a hunter of information. We don’t like walls. We don’t measure the loudest signals, only the most intriguing ones. Loud squelches the source behind the impact and you miss the kinetics of human nature. 
If you are interested in Big Data you might want to keep your calendar open in late April for some interesting meetups. Every day starting with Monday April ... Via Stewart Townsend 
With over 300 million users, Weibo is the largest micro-blogging website in China. Its integration into DiscoverText will empower social media analysts in the United States, China, and around the world. Fused with DiscoverText’s range of functions (incuding advanced metadata filtering, near-duplicate text detection, auto-translation, and machine classification) the Weibo integration opens the door to exciting new multi-lingual research possibilities. |
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