Texifter, LLC is a spin-out company based on text analysis research by Dr. Stuart Shulman. Over the last 17 years, Dr. Shulman has conducted research primarily in the domain of electronic rulemaking, with a specific focus on the development of human language tools for reviewing large numbers of public comments. Over the past 10 years, he has been sole inventor of software applications that support tasks ranging from text classification, social 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, 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.
Watch a recent lecture: “Text Analytics for Social Data Using DiscoverText & Sifter” – @SMLabTO Research Methods Workshop