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A review of patent analysis based on machine learning
16 references·0 citing·51 second hop
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References

  • 2021Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN)1,463 cited
  • 2021Patent Quality: Towards a Systematic Framework for Analysis and Measurement294 cited
  • 2018DeepPatent: patent classification with convolutional neural networks and word embedding183 cited
  • 2021A survey on deep learning for patent analysis137 cited
  • 2019Patent Value Analysis Using Deep Learning Models—The Case of IoT Technology Mining for the Manufacturing Industry98 cited
  • 2019Using structural diversity to measure the complexity of technologies95 cited
  • 2007Measuring patent assessment quality—Analyzing the degree and kind of (in)consistency in patent offices’ decision making91 cited
  • 2022Mapping the sustainable development goals (SDGs) in science, technology and innovation: application of machine learning in SDG-oriented artefact detection74 cited
  • 2019Automating the search for a patent’s prior art with a full text similarity search73 cited
  • 2018Automated patent landscaping67 cited
  • 2019Software Patents and Firm Value: A Real Options Perspective on the Role of Innovation Orientation and Environmental Uncertainty63 cited
  • 2020Patent document clustering with deep embeddings59 cited
  • 2020A novel approach to evaluating the business potential of intellectual properties: A machine learning-based predictive analysis of patent lifetime58 cited

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  • 2021Deep learning for patent landscaping using transformer and graph embedding51 cited
  • 2001Intellectual Property Rights and the Third World47 cited
  • 2019Patent Analytics Based on Feature Vector Space Model: A Case of IoT41 cited
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