Machine learning and rule-based automated coding of qualitative data

Kevin Crowston, Xiaozhong Liu, Eileen E. Allen

Research output: Contribution to journalArticlepeer-review

36 Scopus citations


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.

Original languageEnglish (US)
JournalProceedings of the ASIST Annual Meeting
StatePublished - Nov 2010


  • Machine learning
  • Natural language processing
  • Qualitative data analysis

ASJC Scopus subject areas

  • Information Systems
  • Library and Information Sciences


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