IDEAS home Printed from https://ideas.repec.org/r/bla/jinfst/v67y2016i10p2464-2476.html
   My bibliography  Save this item

Map of science with topic modeling: Comparison of unsupervised learning and human-assigned subject classification

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Chen, Hongshu & Jin, Qianqian & Wang, Ximeng & Xiong, Fei, 2022. "Profiling academic-industrial collaborations in bibliometric-enhanced topic networks: A case study on digitalization research," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  2. Tingcan Ma & Ruinan Li & Guiyan Ou & Mingliang Yue, 2018. "Topic based research competitiveness evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 789-803, November.
  3. Suominen, Arho & Toivanen, Hannes & Seppänen, Marko, 2017. "Firms' knowledge profiles: Mapping patent data with unsupervised learning," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 131-142.
  4. Keungoui Kim & Dieter F. Kogler & Sira Maliphol, 2024. "Identifying interdisciplinary emergence in the science of science: combination of network analysis and BERTopic," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
  5. Zhang, Yi & Lu, Jie & Liu, Feng & Liu, Qian & Porter, Alan & Chen, Hongshu & Zhang, Guangquan, 2018. "Does deep learning help topic extraction? A kernel k-means clustering method with word embedding," Journal of Informetrics, Elsevier, vol. 12(4), pages 1099-1117.
  6. Suominen, Arho & Peng, Haoshu & Ranaei, Samira, 2019. "Examining the dynamics of an emerging research network using the case of triboelectric nanogenerators," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 820-830.
  7. Hansu Hwang & SeJin An & Eunchang Lee & Suhyeon Han & Cheon-hwan Lee, 2021. "Cross-Societal Analysis of Climate Change Awareness and Its Relation to SDG 13: A Knowledge Synthesis from Text Mining," Sustainability, MDPI, vol. 13(10), pages 1-21, May.
  8. Raf Guns & Linda Sīle & Joshua Eykens & Frederik T. Verleysen & Tim C. E. Engels, 2018. "A comparison of cognitive and organizational classification of publications in the social sciences and humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1093-1111, August.
  9. Lara Fontanella & Berta Chulvi & Elisa Ignazzi & Annalina Sarra & Alice Tontodimamma, 2024. "How do we study misogyny in the digital age? A systematic literature review using a computational linguistic approach," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
  10. Li, Munan & Wang, Wenshu & Zhou, Keyu, 2021. "Exploring the technology emergence related to artificial intelligence: A perspective of coupling analyses," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
  11. Doo-San Kim & Byeong-Cheol Lee & Kwang-Hi Park, 2021. "Determination of Motivating Factors of Urban Forest Visitors through Latent Dirichlet Allocation Topic Modeling," IJERPH, MDPI, vol. 18(18), pages 1-14, September.
  12. Manuel A. Vázquez & Jorge Pereira-Delgado & Jesús Cid-Sueiro & Jerónimo Arenas-García, 2022. "Validation of scientific topic models using graph analysis and corpus metadata," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5441-5458, September.
  13. Samira Ranaei & Arho Suominen & Alan Porter & Stephen Carley, 2020. "Evaluating technological emergence using text analytics: two case technologies and three approaches," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 215-247, January.
  14. Juan F. Velasco-Muñoz & José A. Aznar-Sánchez & Marina Schoenemann & Belén López-Felices, 2022. "An Analysis of the Worldwide Research on the Socio-Cultural Valuation of Forest Ecosystem Services," Sustainability, MDPI, vol. 14(4), pages 1-22, February.
  15. Mauricio Olivares Faúndez & Hanns de la Fuente-Mella, 2022. "Data Analysis and Domain Knowledge for Strategic Competencies Using Business Intelligence and Analytics," Mathematics, MDPI, vol. 11(1), pages 1-33, December.
  16. Xu, Shuo & Hao, Liyuan & Yang, Guancan & Lu, Kun & An, Xin, 2021. "A topic models based framework for detecting and forecasting emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
  17. Aznar-Sánchez, José A. & Piquer-Rodríguez, María & Velasco-Muñoz, Juan F. & Manzano-Agugliaro, Francisco, 2019. "Worldwide research trends on sustainable land use in agriculture," Land Use Policy, Elsevier, vol. 87(C).
  18. Kanyao Han & Rezvaneh Rezapour & Katia Nakamura & Dikshya Devkota & Daniel C. Miller & Jana Diesner, 2023. "An expert‐in‐the‐loop method for domain‐specific document categorization based on small training data," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(6), pages 669-684, June.
  19. Diana Purwitasari & Chastine Fatichah & Surya Sumpeno & Christian Steglich & Mauridhi Hery Purnomo, 2020. "Identifying collaboration dynamics of bipartite author-topic networks with the influences of interest changes," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1407-1443, March.
  20. Kim, Hyeyoung & Park, Hyelin & Song, Min, 2022. "Developing a topic-driven method for interdisciplinarity analysis," Journal of Informetrics, Elsevier, vol. 16(2).
  21. Zhang, Yi & Wu, Mengjia & Miao, Wen & Huang, Lu & Lu, Jie, 2021. "Bi-layer network analytics: A methodology for characterizing emerging general-purpose technologies," Journal of Informetrics, Elsevier, vol. 15(4).
  22. Munan Li, 2018. "Classifying and ranking topic terms based on a novel approach: role differentiation of author keywords," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 77-100, July.
  23. Alice Tontodimamma & Eugenia Nissi & Annalina Sarra & Lara Fontanella, 2021. "Thirty years of research into hate speech: topics of interest and their evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 157-179, January.
  24. Moehrle, Martin G. & Caferoglu, Hüseyin, 2019. "Technological speciation as a source for emerging technologies. Using semantic patent analysis for the case of camera technology," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 776-784.
  25. Righi, Riccardo & Samoili, Sofia & López Cobo, Montserrat & Vázquez-Prada Baillet, Miguel & Cardona, Melisande & De Prato, Giuditta, 2020. "The AI techno-economic complex System: Worldwide landscape, thematic subdomains and technological collaborations," Telecommunications Policy, Elsevier, vol. 44(6).
  26. Yi Zhang & Xiaojing Cai & Caroline V. Fry & Mengjia Wu & Caroline S. Wagner, 2021. "Topic evolution, disruption and resilience in early COVID-19 research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4225-4253, May.
  27. Arho Suominen & Ozgur Dedehayir, 2017. "Pathways To A Drug: A Mixed Methods Analysis Of Emergence," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(08), pages 1-17, December.
  28. José A. Aznar-Sánchez & Juan F. Velasco-Muñoz & Belén López-Felices & Isabel M. Román-Sánchez, 2020. "An Analysis of Global Research Trends on Greenhouse Technology: Towards a Sustainable Agriculture," IJERPH, MDPI, vol. 17(2), pages 1-22, January.
  29. Peter Sjögårde & Per Ahlgren & Ludo Waltman, 2021. "Algorithmic labeling in hierarchical classifications of publications: Evaluation of bibliographic fields and term weighting approaches," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(7), pages 853-869, July.
  30. Willcock, Simon & Martínez-López, Javier & Hooftman, Danny A.P. & Bagstad, Kenneth J. & Balbi, Stefano & Marzo, Alessia & Prato, Carlo & Sciandrello, Saverio & Signorello, Giovanni & Voigt, Brian & Vi, 2018. "Machine learning for ecosystem services," Ecosystem Services, Elsevier, vol. 33(PB), pages 165-174.
  31. Andrea Zielinski, 2022. "Impact of model settings on the text-based Rao diversity index," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7751-7768, December.
  32. Luigi Di Caro & Marco Guerzoni & Massimiliano Nuccio & Giovanni Siragusa, 2017. "A Bimodal Network Approach to Model Topic Dynamics," Papers 1709.09373, arXiv.org.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.