Surveycoder: A system for classification of survey responses

Abstract

Survey coding is the process of analyzing text responses to open-ended questions in surveys. We present SurveyCoder, a research prototype which helps the survey analysts to achieve significant automation of the survey coding process. SurveyCoder's multi-label text classification algorithm makes use of a knowledge base that consists of linguistic resources, historical data, domain specific rules and constraints. Our method is applicable to surveys carried out in different domains. © 2013 Springer-Verlag Berlin Heidelberg.