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| Research on Patent Quality Evaluation Using Machine Learning |
| Li Xin,Fan Mingjie,Huang Lucheng |
| （School of Economic and Management, Beijing University of Technology, Beijing 100124，China） |
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Abstract With the rapidly growth of patents, patent quality issues have become increasingly prominent, and patent quality evaluation has become the focus of scholars. Faced with a large number of patent data, how to construct an effective patent quality evaluation method to achieve accurate evaluation and classification of patent quality is an urgent task. Firstly, this paper proposes a new patent quality evaluation indicator system through systematic investigation and review patent quality evaluation research literature. Secondly, according to the new patent quality evaluation indicator system, a patent quality evaluation method based on machine learning is constructed, and the artificial intelligence technology patent is taken as an example for empirical research. The research results show that the effective comprehensive utilization of technical, economic, legal and subjective evaluation indicators of patents is helpful to evaluate the quality of patent in more comprehensive and in-depth; The patent quality evaluation method based on machine learning can quickly classify and identify high-quality patents, thereby improving the depth and value of patent quality evaluation results, and providing the possibility to realize the intelligentization of large-scale patent quality classification evaluation.
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Received: 28 September 2020
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