Extraction of Characteristic Terms from Patent Documents for Technical Trend Analysis.

Kaito Takano,Miryu Tanaka,Hiroyuki Sakai,Ryozo Kitajima, Takahisa Ota, Chinatsu Tanabe,Hiroki Sakaji

IIAI-AAI(2019)

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摘要
In this paper, we propose a method that automatically extracts terms defined "characteristic terms" from several patent documents belonging to a certain technical field. The characteristic terms extracted by our method are useful for technology trend analysis. For example, in the case of patent documents relating to an organic electroluminescence (EL), the characteristic term is a word that expresses the characteristic of the technology shown in the patents, such as " Luminous efficiency (hakkoukouritu: luminous efficiency)" or " Luminance (koudo:brightness)". Finally, our method was evaluated and as a result of that, good results were obtained.
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关键词
characteristic terms, patent documents, technical trend analysis, text mining, deep learning, natural language processing
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