Texifter designs and hosts cloud computing solutions for searching, filtering, coding, clustering, and classifying large amounts of unstructured text. Our product DiscoverText is tailored to meet the analytic needs of researchers in corporations and academia, as well as federal regulatory rule writers. Our R&D brings topic modeling, sentiment detection, and other information retrieval and natural language technologies into an active machine-learning loop that leverages the user-created analytic choices to improve algorithm performance. The application Sifter provides search and retrieve access to every undeleted Tweet in the history of Twitter. Powered by Twitter-certified social data provider Gnip.com, users can submit "Gnip Historical PowerTrack" estimate requests using a variety of query rules. When the query is done, sifter generates an email estimating the approximate number of tweets responsive to the query and the cost to execute the retrieval. Once the Twitter data is licensed, we store the Twitter data in a free trial Enterprise DiscoverText account where you can perform advanced text analytics for 30 days - search, filter, cluster, code, and machine classify the data.