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Memory-enhanced hierarchical and temporal semantic learning for multi-label patent classification
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Memory-enhanced hierarchical and temporal semantic learning for multi-label patent classification (2025)Memory-enhanced hierarchical and temporal…SatCoBiLSTM: Self-attention based hybrid deep learning framework for crisis event detection in social media (2024)SatCoBiLSTM: Self-attention b…PatentSBERTa: A deep NLP based hybrid model for patent distance and classification using augmented SBERT (2024)PatentSBERTa: A deep NLP base…Adaptive Taxonomy Learning and Historical Patterns Modeling for Patent Classification (2024)Adaptive Taxonomy Learning an…Using supervised machine learning for large‐scale classification in management research: The case for identifying artificial intelligence patents (2022)Using supervised machine lear…Optimizing Neural Networks for Patent Classification (2020)Optimizing Neural Networks fo…DeepPatent: patent classification with convolutional neural networks and word embedding (2018)DeepPatent: patent classifica…Automated Patent Classification Using Word Embedding (2017)Automated Patent Classificati…Modeling and analyzing technology innovation in the energy sector: Patent-based HMM approach (2011)Modeling and analyzing techno…The Rate and Direction of Inventive Activity (1962)Patent Statistics as Economic Indicators: A Survey (1990)Direct validation of citation counts as indicators of industrially important patents (1991)Exploitative and exploratory innovations in knowledge network and collaboration network: A patent analysis in the technological field of nano-energy (2015)An analysis on strategy evolution of research & development in cooperative innovation network of new energy vehicle within policy transition period (2022)Italian Journal of Linguistics (2006)Top Management Attention to Innovation: The Role of Search Selection and Intensity in New Product Introductions (2012)Deep learning applications and challenges in big data analytics (2015)Forecasting emerging technologies using data augmentation and deep learning (2020)Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations (1993)Knowledge-relatedness in firm technological diversification (2002)A literature review on the state-of-the-art in patent analysis (2014)What is your next invention? — A framework of mining technological development rules and assisting in designing new technologies based on BERT as well as patent citations (2022)A systematic review of artificial intelligence applications and methodological advances in patent analysis (2025)Technological trajectories in circular economy: Bridging patent analytics with sustainable development goals (2025)Econometric Models for Count Data with an Application to the Patents-R & D Relationship (1984)Market value and patent citations (2005)Automation and New Tasks: How Technology Displaces and Reinstates Labor (2019)Renewing the resource‐based view: New contexts, new concepts, and new methods (2023)AI adoption in America: Who, what, and where (2024)Integrating artificial intelligence and human resource management: a review and future research agenda (2024)Comparing Twitter and Traditional Media Using Topic Models (2011)CrisisLex: A Lexicon for Collecting and Filtering Microblogged Communications in Crises (2014)Robust Classification of Crisis-Related Data on Social Networks Using Convolutional Neural Networks (2017)A contrastive topic-aware attentive framework with label encodings for post-disaster resource classification (2024)A Multidimensional Study of the 2023 Beijing Extreme Rainfall: Theme, Location, and Sentiment Based on Social Media Data (2025)Patent classification system using a new hybrid genetic algorithm support vector machine (2009)Hybrid-patent classification based on patent-network analysis (2010)A survey on deep learning for patent analysis (2021)Competition and Innovation in the Financial Sector: Evidence from the Rise of FinTech Start-ups (2023)Will AI solve the patent classification problem? (2024)
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References

  • 2022Using supervised machine learning for large‐scale classification in management research: The case for identifying artificial intelligence patents223 cited
  • 2018DeepPatent: patent classification with convolutional neural networks and word embedding194 cited
  • 2024PatentSBERTa: A deep NLP based hybrid model for patent distance and classification using augmented SBERT167 cited
  • 2017Automated Patent Classification Using Word Embedding59 cited
  • 2011Modeling and analyzing technology innovation in the energy sector: Patent-based HMM approach40 cited
  • 2024SatCoBiLSTM: Self-attention based hybrid deep learning framework for crisis event detection in social media32 cited
  • 2020Optimizing Neural Networks for Patent Classification24 cited
  • 2024Adaptive Taxonomy Learning and Historical Patterns Modeling for Patent Classification6 cited

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