An exploration of tool support for categorical coding
Anjo A. Anjewierden, Hannie Gijlers · University of Twente Research Information · 2008
Abstract: In this paper we explore tool support for categorical coding of verbal and chat data. We consider tool support for manual coding, automatic coding by learning algorithms, and derive at a socio-technical approach in which human coders and learning algorithms together address the coding task. Given that a literature study suggests researchers devise, adapt and refine a wide variety of coding schemes, a categorization support system should handle and accommodate user defined coding schemes. Based on these ideas a prototype of the ChatIC tool was developed and evaluated with three coding schemes. For two coding schemes a sufficient inter-rater agreement between a human coder and the learning algorithms was reached.