Web-based textual analysis of free-text patient experience comments from a survey in primary care.
Inocencio Daniel Cortes MarambaAntoinette F DaveyMarc N ElliottMartin J RobertsMartin RolandFinlay BrownJenni BurtOlga BoikoJohn L CampbellPublished in: JMIR medical informatics (2015)
Web-based text processing tools can extract useful information from free-text comments and the output may serve as a springboard for further investigation. Text clouds, distinctive words extraction and KWIC analysis show promise in quick evaluation of unstructured patient feedback. The results are easily understandable, but may require further probing such as KWIC analysis to establish the context. Future research should explore whether more sophisticated methods of textual analysis (eg, sentiment analysis, natural language processing) could add additional levels of understanding.