Machine-learning-based deep semantic analysis approach for forecasting new technology convergence

Citations

Cited by:

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13. Jong Wook Lee & So Young Sohn, 2021. "Patent data based search framework for IT R&D employees for convergence technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5687-5705, July.
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15. Mehmet Güney Celbiş & Pui-Hang Wong & Karima Kourtit & Peter Nijkamp, 2021. "Innovativeness, Work Flexibility, and Place Characteristics: A Spatial Econometric and Machine Learning Approach," Sustainability, MDPI, vol. 13(23), pages 1-29, December.
16. Hain, Daniel S. & Jurowetzki, Roman & Buchmann, Tobias & Wolf, Patrick, 2022. "A text-embedding-based approach to measuring patent-to-patent technological similarity," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
17. Yang, Zaoli & Zhang, Weijian & Yuan, Fei & Islam, Nazrul, 2021. "Measuring topic network centrality for identifying technology and technological development in online communities," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
18. Bekamiri, Hamid & Hain, Daniel S. & Jurowetzki, Roman, 2024. "PatentSBERTa: A deep NLP based hybrid model for patent distance and classification using augmented SBERT," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
19. Gui, Liang & Wu, Jie & Liu, Peng & Ma, Tieju, 2025. "Recognition of promising technologies considering inventor and assignee's historic performance: A machine learning approach," Technological Forecasting and Social Change, Elsevier, vol. 214(C).
20. Jeon, Eunji & Yoon, Naeun & Sohn, So Young, 2023. "Exploring new digital therapeutics technologies for psychiatric disorders using BERTopic and PatentSBERTa," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
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22. Büşra Buran & Mehmet Erçek, 2021. "Convergence or Divergence among Business Models of Public Bus Transport Authorities across the Globe: A Fuzzy Approach," Sustainability, MDPI, vol. 13(19), pages 1-21, September.
23. Wang, Yafei & Shi, Ming & Liu, Junnan & Zhong, Min & Ran, Rong, 2025. "The impact of digital-real integration on energy productivity under a multi-governance framework: The mediating role of AI and embodied technological progress," Energy Economics, Elsevier, vol. 142(C).
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