The demand for analysis of textual data has accelerated in recent years. Survey research has traditionally focused on quantitative data; structured questions and answers that are easily tabulated using widely available tools. The advent of online, web-based and social media platforms for conducting surveys has broadened the job responsibility of survey researchers to include analysis of qualitative data, such as unstructured open ended comments, text posts, blogs, transcripts, publications and more.

This short workshop will review the evolution of text analysis in survey research and will demonstrate several applications that provide analysis of text data, as well as, examples of actionable insights.

Patrick Hoey is a Survey Specialist with Canon USA, based in the company’s North American Headquarters, Melville, New York. His Canon experience includes transactional Customer Satisfaction and ad hoc studies using online tools. The range of customer experience surveys he has conducted includes evaluations of call center agent performance, factory service center product repairs, website visit experiences and more. Prior to his work at Canon USA, he worked for Pulse on America, Inc. a Great Neck, NY based company conducting Magazine Readership Studies for many of Time-Warner’s publications, including Sports Illustrated, Money and Travel & Leisure. His first experiences in survey research was with political campaigns and elections, working for a national political consulting firm and political organizations, candidates, public officials and associations with interests in public affairs. He holds a Ph.D and Masters in Political Science from Fordham University and a BA from SUNY-Potsdam.