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Abstract <p>The paper presents a methodology for the intelligent analysis of patent information, covering data collection, preprocessing, and both statistical and semantic analysis. Special emphasis is placed on the use of neural network models and Latent Dirichlet Allocation (LDA) to reveal latent structures in large-scale patent corpora.</p>

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Intelligent Analysis of Patent Materials Using the Example of Quantum and Intelligent Robotics

  • 期刊论文

  • 发表日期：

    2026年7月20日

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  • D. P. Zrelova,
  • P. V. Zrelov,
  • V. V. Korenkov,
  • I. D. Sokolov

摘要

Abstract

The paper presents a methodology for the intelligent analysis of patent information, covering data collection, preprocessing, and both statistical and semantic analysis. Special emphasis is placed on the use of neural network models and Latent Dirichlet Allocation (LDA) to reveal latent structures in large-scale patent corpora.