The core 21 features of DiscoverText are introduced. Archive, filter, search, human code, and machine classify text. Free text in surveys, social media (Twitter, Facebook, Google+, YouTube), emails, blogs (Disqus), and other electronic documents.
We all know there are many fake accounts on Twitter. We do know that. We just do not know how many nor how many show up in communication about politics. So, the existence of an unknown number of fake accounts is a challenge to any count of Twitter messages about politics. How many are fake? How many are not?
Context Relevant (www.contextrelevant.com), a leading provider of Big Data modeling and analytics software, today publicly unveiled its flagship Flexible Analytics and Statistics Technology™ (FAST) at an event hosted by Amazon.com's Machine Learning Group. PR Newswire (http://s.tt/1lWpX)
We are offering an election special through Midnight EST Sunday August 26th, 2012. If you purchase access to the Gnip Power Track as well as at least a 1-month Professional DiscoverText license, we will cut the Gnip access fee in half and double the number of free Tweets you get with access to 200,000.
A decade ago, public health media campaigns measured their impact by evaluating the relationship between message exposure and the targeted behavior. Given the advent and wide diffusion of social media, measuring simple message exposure doesn’t begin to capture the information environment influencing people’s health behavior.
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.
A large collection of tutorials and DiscoverText feature introduction videos from the last year of software development at Texifter. Learn the latest techniques for social media monitoring, advanced filtering, and the training of custom machine classifiers.
The R&D team has been preparing an academic basic research talk I will make at the October 30, 2012 Sentiment Analysis Symposium. The title is “Fear and Loathing on the Social Campaign Trail” and we have been working with a lexicon shared by the National Research Council of Canada listing 14,000 terms associated with eight basic emotions. Over the final month of the US election, we will be testing and refining statistical language models that capture the use of political fear words in social media.
This past week, Election 2012 found a new favorite metric: Tweets Per Minute (TPM). Apparently Mitt Romney got a lot of them (14,289 during his speech). But Michelle Obama got even more (22,004) and her husband even more yet (52,747). Early last month, Twitter even rolled out a Political Index—the Twindex—that tracks the favorability of Barack Obama and Mitt Romney among its 500 million users.
Google's social networking service, Google Plus, is integrating communication features like group video with Google Apps, its collaboration tools for business. The idea is to offer companies social tools that could enhance productivity.
Maybe we should turn to tools to replace some or all of what the data scientist does. Can you replace a data scientist with tools? An emerging group of startups would like you to think this is already possible.
On June 25th, to promote the year of Oreo’s 100th birthday, Nabisco lent its cookie some currency: The company tweeted the image of a six-layered cookie, with crèmes the color of the rainbow, above a simple caption – “Pride.”
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.