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Topic modeling is a family of machine learning methods that can automatically extract thematic information from text. Recently, researchers have started using these methods as a quantitative tool for literature reviews. We have identified and analysed 79 papers in management and organisational research that used topic modeling for literature review. Our analysis covers all aspects of analysis and reporting: from data search & selection, preprocessing, analysis, interpretation, validation and visualization. Based on our analysis we developed the guidelines for implementing the process and reporting of topic modeling literature reviews.
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