{"title":"从专利文献中提取特征术语","authors":"Kaito Takano, Miryu Tanaka, Hiroyuki Sakai, Ryozo Kitajima, Takahisa Ota, Chinatsu Tanabe, Hiroki Sakaji","doi":"10.52731/ijscai.v4.i2.568","DOIUrl":null,"url":null,"abstract":"We propose a method to automatically extract “characteristic terms” from several patent documents belonging to a certain technical field. The characteristic terms extracted by the proposed method are useful for technology trend analysis. For example, in the case of patent documents relating to organic electroluminescence, the characteristic term expresses the characteristic of the technology shown in the patents, e","PeriodicalId":179818,"journal":{"name":"International Journal of Smart Computing and Artificial Intelligence","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Extracting characteristic terms from patent documents\",\"authors\":\"Kaito Takano, Miryu Tanaka, Hiroyuki Sakai, Ryozo Kitajima, Takahisa Ota, Chinatsu Tanabe, Hiroki Sakaji\",\"doi\":\"10.52731/ijscai.v4.i2.568\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a method to automatically extract “characteristic terms” from several patent documents belonging to a certain technical field. The characteristic terms extracted by the proposed method are useful for technology trend analysis. For example, in the case of patent documents relating to organic electroluminescence, the characteristic term expresses the characteristic of the technology shown in the patents, e\",\"PeriodicalId\":179818,\"journal\":{\"name\":\"International Journal of Smart Computing and Artificial Intelligence\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Smart Computing and Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.52731/ijscai.v4.i2.568\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Smart Computing and Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52731/ijscai.v4.i2.568","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Extracting characteristic terms from patent documents
We propose a method to automatically extract “characteristic terms” from several patent documents belonging to a certain technical field. The characteristic terms extracted by the proposed method are useful for technology trend analysis. For example, in the case of patent documents relating to organic electroluminescence, the characteristic term expresses the characteristic of the technology shown in the patents, e