Explaining topic prevalence in answers to open-ended survey questions about climate change
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DOI: 10.1038/nclimate2663
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Cited by:
- Ivan Savin & Kristina Chukavina & Andrey Pushkarev, 2023. "Topic-based classification and identification of global trends for startup companies," Small Business Economics, Springer, vol. 60(2), pages 659-689, February.
- Tobias Wekhof & Sébastien Houde, 2023. "Using narratives to infer preferences in understanding the energy efficiency gap," Nature Energy, Nature, vol. 8(9), pages 965-977, September.
- Savin, Ivan & Ott, Ingrid & Konop, Chris, 2022.
"Tracing the evolution of service robotics: Insights from a topic modeling approach,"
Technological Forecasting and Social Change, Elsevier, vol. 174(C).
- Ott, Ingrid & Savin, Ivan & Konop, Chris, 2021. "Tracing the evolution of service robotics: Insights from a topic modeling approach," Kiel Working Papers 2180, Kiel Institute for the World Economy (IfW Kiel).
- Kjersti Fløttum & Dorothy Jane Dankel & Jon Kåre Skiple, 2022. "The Sustainable Development Goals—Sensible Initiative or Just Nonsense? An Investigation of Norwegian Citizens’ Knowledge and Attitudes," Sustainability, MDPI, vol. 14(7), pages 1-16, April.
- Hanchen Jiang & Maoshan Qiang & Dongcheng Zhang & Qi Wen & Bingqing Xia & Nan An, 2018. "Climate Change Communication in an Online Q&A Community: A Case Study of Quora," Sustainability, MDPI, vol. 10(5), pages 1-17, May.
- Camilla Salvatore & Silvia Biffignandi & Annamaria Bianchi, 2022. "Corporate Social Responsibility Activities Through Twitter: From Topic Model Analysis to Indexes Measuring Communication Characteristics," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1217-1248, December.
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