Texifter was the first company to join as a paying customer in the alpha “Snapshot” offering from Gnip. You can still take part in that alpha by submitting a request for a free estimate of a snapshot from Twitter’s complete history. This is, however, a very fast-moving landscape for for social # bigdata. We are quickly transitioning from the alpha “Snaphot” tests to the beta of a cradle-to-grave system for building estimates for the cost of text analytic projects that feature either the real-time day-forward, Gnip-enabled PowerTrack (the Twitter fire hose), or the new historical PowerTrack. So if you have ever wished you could go back in time and collect all the tweets from an epic moment in history, your wish just came true. Contact us if you have any questions and submit a request for a free estimate today.
We are making continual improvements to the sifter beta. Our goal is to develop the best possible user interface for Gnip’s PowerTrack filters when searching for historical Twitter data. Version 2 of the historical Twitter filtering system reflects a lot of great input from our early adopters. The work is far from done. This video introduces v2. What we need is your input. How can we make this tool for searching every undeleted tweet in history easier to use?
We could not be happier to announce that Texifter, a developer of advanced text data analytics software, is partnering with Gnip, the world’s largest provider of social data. Our Plugged In to Gnip partnership certifies Texifter as an industry leader committed to building innovative analytics solutions on top of reliable, sustainable, and complete social data. In joining Gnip’s partner program, Texifter joins the list of leading analytics providers like Microsoft, Salesforce, and Adobe. “The Plugged In program was created to really highlight the companies that are doing the most innovative things in social data,” according to Chris Moody, CEO of Gnip, “and Texifter is a great example of that.” Texifter’s DiscoverText platform provides advanced data analytics solutions for social researchers in public and private institutions. Combining powerful tools with accessible interfaces, DiscoverText provides “five pillars of text analytics” – search, filtering, clustering, human-coding, and machine-learning. By partnering with Gnip, Texifter has access to historical Twitter data. Texifter recently launched “Sifter”, a tool to help users estimate Twitter volume associated with historical searches. The Sifter product gives users a free estimate of Twitter volume over a specific date range using advanced Gnip PowerTrack filtering. Customers who license historical Twitter data from Gnip can then access it for text analytics via a 30-day trial of DiscoverText.
“Texifter welcomes this opportunity to work even more closely with a company that we have admired and worked with for years,” said Stu Shulman, CEO of Texifter. “Gnip is an exceptionally reliable provider of social data products and services. Texifter customers will continue to see more benefit as we work with Gnip to deliver high quality products and services.”
A brief follow up on Texifter. We successfully migrated DiscoverText to Microsoft’s Azure. It was very smooth, though we are going through a period of diminished search and filtering capabilities while the data re-indexes. Otherwise, the other capabilities appear stable. We also launched a new beta product on Azure to allow users to get free estimates (and buy the data) self-serve from the full history of Twitter. The live prototype is “Sifter” (https://sifter.texifter.com). Finally, I have been elected a board member and Treasurer for the Big Boulder Initiative (https://bigboulderconf.com/about/). In that capacity, I will be playing a role helping to organize the social data industry association that will launch in June at Big Boulder. 2014 is looking good for Texifter. On January 31, 2014, the company re-acquired all assets and intellectual property related to DiscoverText, including the Sifter stack of language technologies for de-duplication, clustering, coding, and machine-learning, as well as the “CoderRank” patent. Going forward, we believe these tools can make a significant impact on the history of information.
It was a great joy to return to the University of Amsterdam and give this talk to my old friend Richard Rogers and his 100+ attentive workshop attendees.