Publication: In search of new product ideas: Identifying ideas in online communities by machine learning and text mining
In search of new product ideas: Identifying ideas in online communities by machine learning and text mining
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Christensen, K., Nørskov, S., Frederiksen, L., & Scholderer, J. (2017). In search of new product ideas: Identifying ideas in online communities by machine learning and text mining. Creativity and Innovation Management, 26(1), 17–30. https://doi.org/10.1111/caim.12202
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Online communities are attractive sources of ideas relevant for new product development and innovation. However, making sense of the ‘big data’ in these communities is a complex analytical task. A systematic way of dealing with these data is needed to exploit their potential for boosting companies' innovation performance. We propose a method for analysing online community data with a special focus on identifying ideas. We employ a research design where two human raters classified 3,000 texts extracted from an online community, accordi
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- Christensen, Kasper
- Nørskov, Sladjana
- Frederiksen, Lars
- Scholderer, Joachim
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Christensen, K., Nørskov, S., Frederiksen, L., & Scholderer, J. (2017). In search of new product ideas: Identifying ideas in online communities by machine learning and text mining. Creativity and Innovation Management, 26(1), 17–30. https://doi.org/10.1111/caim.12202