Weighted hybrid clustering by combining text mining and bibliometrics on a large‐scale journal database
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Abstract
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DOI: 10.1002/asi.21312
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Cited by:
- Alberto Arenal & Claudio Feijoo & Ana Moreno & Cristina Armuña & Sergio Ramos, 2019.
"An academic perspective on the entrepreneurship policy agenda: themes, geographies and evolution,"
Journal of Entrepreneurship and Public Policy, Emerald Group Publishing Limited, vol. 9(1), pages 65-93, December.
- Arenal, Alberto & Feijoo, Claudio & Moreno, Ana & Armuña, Cristina & Ramos, Sergio, 2019. "An academic perspective on the entrepreneurship policy agenda: themes, geographies and evolution," MPRA Paper 96014, University Library of Munich, Germany.
- Block, Carolin & Wustmans, Michael & Laibach, Natalie & Bröring, Stefanie, 2021. "Semantic bridging of patents and scientific publications – The case of an emerging sustainability-oriented technology," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
- Dejian Yu & Wanru Wang & Shuai Zhang & Wenyu Zhang & Rongyu Liu, 2017. "Hybrid self-optimized clustering model based on citation links and textual features to detect research topics," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-21, October.
- Yeow Chong Goh & Xin Qing Cai & Walter Theseira & Giovanni Ko & Khiam Aik Khor, 2020. "Evaluating human versus machine learning performance in classifying research abstracts," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1197-1212, November.
- Rey-Long Liu, 2015. "Passage-Based Bibliographic Coupling: An Inter-Article Similarity Measure for Biomedical Articles," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-22, October.
- Zhou, Yuan & Dong, Fang & Kong, Dejing & Liu, Yufei, 2019. "Unfolding the convergence process of scientific knowledge for the early identification of emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 205-220.
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