V. Lytvyn, Y. Burov, V. Vysotska, Yulia Pukach, O. Tereshchuk, Iryna Shakleina
{"title":"基于主题领域本体衡量TF-IDF测度的文本内容摘要","authors":"V. Lytvyn, Y. Burov, V. Vysotska, Yulia Pukach, O. Tereshchuk, Iryna Shakleina","doi":"10.1109/SIST50301.2021.9465978","DOIUrl":null,"url":null,"abstract":"This article deals with the approach to automation of abstracting text documents based on the modification of the TF-IDF measure by ontology of the subject area to which the abstracted document belongs. A method of abstracting based on this approach has developed.","PeriodicalId":318915,"journal":{"name":"2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Abstracting Text Content Based on Weighing the TF-IDF Measure by the Subject Area Ontology\",\"authors\":\"V. Lytvyn, Y. Burov, V. Vysotska, Yulia Pukach, O. Tereshchuk, Iryna Shakleina\",\"doi\":\"10.1109/SIST50301.2021.9465978\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article deals with the approach to automation of abstracting text documents based on the modification of the TF-IDF measure by ontology of the subject area to which the abstracted document belongs. A method of abstracting based on this approach has developed.\",\"PeriodicalId\":318915,\"journal\":{\"name\":\"2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIST50301.2021.9465978\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIST50301.2021.9465978","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Abstracting Text Content Based on Weighing the TF-IDF Measure by the Subject Area Ontology
This article deals with the approach to automation of abstracting text documents based on the modification of the TF-IDF measure by ontology of the subject area to which the abstracted document belongs. A method of abstracting based on this approach has developed.