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.
Just about six hours left to win valuable historical twitter datasets and powerful text analytics software. This is by far our best Facebook raffle yet. To enter:
- Login to Facebook
- Visit this URL: https://bit.ly/1421tWP
- Tweet about the raffle, follow DiscoverText on Twitter, or like on Facebook.
- Do all three to increase your chances.
- Refer friends to do better still.
The winner will get three 10-day historical Twitter datasets, with Power Track search operators enable by our friends @gnip as well as gratis use of the DiscoverText software platform. Runners up will also get valuable software prizes for a full year.
We interviewed researchers at the University of Illinois Chicago in the Health Media Collaboratory about their use of DiscoverText and the Gnip-enabled Power Track for Twitter to study smoking behavior. The team, led by Dr. Sherry Emery, explains why it is important to train and use custom machine classifiers to sort the millions of tweets they are collecting from the full Twitter fire hose. The UIC team strongly argues for the combination of good tools and highly reliable data.
Just in time for the 2012 GOP convention, we are running a special offer to provide full Twitter fire hose access via the Gnip-enabled Power Track for Twitter: Never miss a tweet. Full coverage with no rate limits. Powerful search rules, text analytics, clustering and machine-learning via custom machine classifiers.
The use of social media has grown exponentially over the last several years. In fact, most television programs and televised advertising have a social media component, designed to expand reach and engagement with the audience. To date, the tobacco control community has relied on traditional media—paid television, radio, billboard and print media advertising—to promote their messages. 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. Using DiscoverText with GNIP’s PowerTrack provides full access to Twitter’s Firehose. This is in contrast to Twitter’s publicly available API stream, which provides only a 1% sample of tweets. Because the volume of tweets for health social media campaigns are relatively low, every tweet matters. Access to GNIP’s premium Twitter feed allows us to capture all tweets and metadata for the campaign. The use of DiscoverText to sift through tweets and code for content provides a useful tool for measuring online public engagement, audience sentiment, and campaign discourse. The Collaboratory will report on the overall reach and audience engagement of the campaign through an analysis of unique users reached, number of retweets, and mentions. This information will not only track the engagement of individual users but also measure the engagement of state tobacco control programs in the campaign. A sentiment analysis will be conducted on tweets to gauge the emotional valence of the campaign and individual television ads. Finally, using root keywords for quitting and smoking uptake, the numbers of Twitter users that express interest in quitting or prevention will be reported. For more information about this project, visit the UIC Health Media Collaboratory website or follow @GLENszczypka for updates. Research funded by the National Cancer Institute (Grant No. 1U01CA154254).