Christensen, Kasper, et al. "In search of new product ideas: Identifying ideas in online communities by machine learning and text mining." Creativity and Innovation Management 26.1 (2017): 17-30.

This article presents a methodology for analyzing big data from online communities to identify ideas relevant to new product development and innovation. By employing a research design involving two human raters to classify 3,000 texts into idea and non-idea categories, followed by the application of text mining techniques and machine learning to train a classification model, the study demonstrates the effectiveness of using advanced analytical tools to detect ideas within large volumes of text. The method offers a systematic approach for researchers and firms to harness the innovation potential of online communities.