Texifter, LLC is a spin-out company based on text analytics research conducted by Dr. Stuart Shulman. Over the last 20 years, Dr. Shulman has worked primarily in the domain of U.S. federal government electronic rulemaking, with a specific focus on the development of human language tools for reviewing large numbers of public comments about proposed regulations.
Over the past 10 years, with remarkable and steadfdast engineering from Mark J. Hoy, Dr. Shulman has been the sole inventor of software applications that support tasks ranging from text annotation, coding, and machine classification, social media and blog data capture, realtime and historical Twitter data access, machine-learning, and manuscript review management, to the development of better annotation tools for improving optical character recognition. His current research focuses on the use of the five pillars of text analytics in the detection of threats, fear, bots, fake news, document relevance, and novel ideas communicated in public comments, blogs, emails, and many types of social media. He conducts regular workshops at top universities around the world with a particular focus on the collection and analysis of Twitter data.
In collaboration with Mark J. Hoy, he was awarded a patent titled “System and method of classifier ranking for incorporation into enhanced machine learning,” known in the colloquial sense under the Sevice Mark “CoderRank,” which is the core IP. Texifter helps researchers in academia, business, and government to quickly and efficiently find the best available human annotators to label their data.
A public lecture by Dr. Shulman: “Text Analytics for Social Data Using DiscoverText & Sifter” – @SMLabTO Research Methods Workshop