[Research purpose]How to build an effective method for identifying high-value patents from a massive number of patents is of great significance for the cultivation,application,protection,and management of high-value patents.[Research method]We propose an early identification method of high-value patents based on multi-modal data fusion and machine learning.Firstly,uses a multi-modal fu-sion method to fuse two modal data:patent indicator data and text data;secondly,uses a survival prediction algorithm based on machine learning to analyze high-value patents known in history in a certain field,and obtain the correlation model between the fused features of high-value patents and their"high value";finally,uses the obtained correlation model to predict the"value"of the patent,thereby achieving early identification of high-value patents in this field.[Research conclusion]An empirical study is conducted taking patents in the field of artificial intelligence as an example,the feasibility and effectiveness of the proposed method is validated by the case results,providing a new research method for early identification of high-value patents.
关键词
多模态数据融合/高价值专利/专利评估/生存预测算法/机器学习/早期识别/人工智能
Key words
multimodal data fusion/high value patents/patent evaluation/survival prediction algorithm/machine learning/early identifi-cation/artificial intelligence
维普
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