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Machine-learning-based deep semantic analysis approach for forecasting new technology convergence
13 references·16 citing·47 second hop
Machine-learning-based deep semantic analysis approach for forecasting new technology convergence (2020)Machine-learning-based deep semantic anal…Technology fusion: Identification and analysis of the drivers of technology convergence using patent data (2016)Technology fusion: Identifica…Predicting the pattern of technology convergence using big-data technology on large-scale triadic patents (2015)Predicting the pattern of tec…Novelty-focused patent mapping for technology opportunity analysis (2014)Novelty-focused patent mappin…Patent citations as a tool for analysing the early stages of convergence (2012)Patent citations as a tool fo…A new instrument for technology monitoring: novelty in patents measured by semantic patent analysis (2012)A new instrument for technolo…Do Important Inventions Benefit from Knowledge Originating in Other Technological Domains? (2011)Do Important Inventions Benef…Patent indicators for monitoring convergence – examples from NFF and ICT (2010)Patent indicators for monitor…When is an invention really radical? (2005)When is an invention really r…When are technologies disruptive? a demand‐based view of the emergence of competition (2002)When are technologies disrupt…The dynamics of product innovation and firm competences (2002)The dynamics of product innov…The Relational View: Cooperative Strategy and Sources of Interorganizational Competitive Advantage (1998)The Relational View: Cooperat…The Relational View: Cooperative Strategy and Sources of Interorganizational Competitive Advantage (1998)The Relational View: Cooperat…Innovation and Entrepreneurship: Practices and Principles (1986)Innovation and Entrepreneursh…Environmental pollution management effects of technological convergence between digital and real economy industries: A perspective of tripartite co-governance by company, government, and public (2025)Environmental pollution manag…The impact of digital-real integration on energy productivity under a multi-governance framework: The mediating role of AI and embodied technological progress (2024)The impact of digital-real in…Predictive modeling for technology convergence: A patent data-driven approach through technology topic networks (2024)Predictive modeling for techn…PatentSBERTa: A deep NLP based hybrid model for patent distance and classification using augmented SBERT (2024)PatentSBERTa: A deep NLP base…From technology opportunities to solutions generation via patent analysis: Application of machine learning-based link prediction (2024)From technology opportunities…Quantity or quality: The roles of technology and science convergence on firm innovation performance (2023)Quantity or quality: The role…Predicting and analyzing technology convergence for exploring technological opportunities in the smart health industry (2023)Predicting and analyzing tech…Two-stage technology opportunity discovery for firm-level decision making: GCN-based link-prediction approach (2022)Two-stage technology opportun…The derived demand for advertising expenses and implications on sustainability: a comparative study using deep learning and traditional machine learning methods (2022)The derived demand for advert…Exploring new digital therapeutics technologies for psychiatric disorders using BERTopic and PatentSBERTa (2022)Exploring new digital therape…A text-embedding-based approach to measuring patent-to-patent technological similarity (2022)A text-embedding-based approa…A patent-based approach to identifying potential technology opportunities realizable from a firm’s internal capabilities (2022)A patent-based approach to id…Regional innovation capability from a technology-oriented perspective: An analysis at industry level (2021)Regional innovation capabilit…Identifying the Technology Convergence Using Patent Text Information: A Graph Convolutional Networks (Gcn)-Based Approach (2021)Identifying the Technology Co…Exploring the research landscape of convergence from a TIM perspective: A review and research agenda (2021)Exploring the research landsc…A doc2vec and local outlier factor approach to measuring the novelty of patents (2021)A doc2vec and local outlier f…Science-based technologies: university–industry interactions in four fields (1998)topicmodels : An R Package for Fitting Topic Models (2011)Exploiting affinities between topic modeling and the sociological perspective on culture: Application to newspaper coverage of U.S. government arts funding (2013)A novel approach to forecast promising technology through patent analysis (2016)Holistic Innovation: An Emerging Innovation Paradigm (2018)Technological opportunity discovery for technological convergence based on the prediction of technology knowledge flow in a citation network (2018)The Discovery of Grounded Theory; Strategies for Qualitative Research (1968)Naturalistic inquiry (1985)Dynamic capabilities and strategic management (1997)Dynamic capabilities: A review and research agenda (2007)Ambidexterity as a dynamic capability: Resolving the innovator's dilemma (2008)Organizational Ambidexterity: Antecedents, Outcomes, and Moderators (2008)A Penny for Your Quotes: Patent Citations and the Value of Innovations (1990)Exploration and Exploitation in Organizational Learning (1991)Market value and patent citations (2005)Detecting the emergence of technologies and the evolution and co-development trajectories in science (DETECTS): a ‘burst’ analysis-based approach (2015)Forecasting emerging technologies: A supervised learning approach through patent analysis (2017)An Evolutionary Theory of Economic Change. 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References

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  • 2012A new instrument for technology monitoring: novelty in patents measured by semantic patent analysis143 cited

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  • 2024PatentSBERTa: A deep NLP based hybrid model for patent distance and classification using augmented SBERT

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  • 2022Two-stage technology opportunity discovery for firm-level decision making: GCN-based link-prediction approach67 cited
  • 2021Identifying the Technology Convergence Using Patent Text Information: A Graph Convolutional Networks (Gcn)-Based Approach61 cited
  • 2021A doc2vec and local outlier factor approach to measuring the novelty of patents52 cited
  • 2023Quantity or quality: The roles of technology and science convergence on firm innovation performance52 cited
  • 2021Exploring the research landscape of convergence from a TIM perspective: A review and research agenda50 cited
  • 2024The impact of digital-real integration on energy productivity under a multi-governance framework: The mediating role of AI and embodied technological progress47 cited
  • 2023Predicting and analyzing technology convergence for exploring technological opportunities in the smart health industry39 cited
  • 2024Predictive modeling for technology convergence: A patent data-driven approach through technology topic networks35 cited
  • 2024From technology opportunities to solutions generation via patent analysis: Application of machine learning-based link prediction31 cited
  • 2021Regional innovation capability from a technology-oriented perspective: An analysis at industry level30 cited
  • 2022A patent-based approach to identifying potential technology opportunities realizable from a firm’s internal capabilities29 cited
  • 2025Environmental pollution management effects of technological convergence between digital and real economy industries: A perspective of tripartite co-governance by company, government, and public29 cited