Machine learning and rule-based automated coding of qualitative data

Authors:
Kevin Crowston;Xiaozhong Liu;Eileen E. Allen
Affiliations:
Syracuse University, Syracuse, NY;Syracuse University, Syracuse, NY;Syracuse University, Syracuse, NY
Venue:
Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47
Year:
2010

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Abstract

Large volumes of textual data pose considerable challenges for manual qualitative analysis. We explore semi-automatic coding of textual data by leveraging Natural Language Processing (NLP). We compare the performance of human-developed NLP rules to those inferred by machine learning (ML) algorithms. The results suggest that NLP with ML may be useful to support researchers coding qualitative data.