{"title":"一种基于删除参与者索引的有效关键字提取方法","authors":"Yan Tang, R. Kan","doi":"10.1109/WISM.2010.176","DOIUrl":null,"url":null,"abstract":"Keywords Extraction plays a very important role in the text-mining domain, since the keywords can represent the asserted main point in a document. Based on the term network and deleting actor index, an effective keywords extraction algorithm is proposed to extract high frequent terms as well as important terms with low frequencies. The experiment results support the conclusion.","PeriodicalId":119569,"journal":{"name":"2010 International Conference on Web Information Systems and Mining","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Effective Keywords Extraction Method Based on Deleting Actor Index\",\"authors\":\"Yan Tang, R. Kan\",\"doi\":\"10.1109/WISM.2010.176\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Keywords Extraction plays a very important role in the text-mining domain, since the keywords can represent the asserted main point in a document. Based on the term network and deleting actor index, an effective keywords extraction algorithm is proposed to extract high frequent terms as well as important terms with low frequencies. The experiment results support the conclusion.\",\"PeriodicalId\":119569,\"journal\":{\"name\":\"2010 International Conference on Web Information Systems and Mining\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Web Information Systems and Mining\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WISM.2010.176\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Web Information Systems and Mining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISM.2010.176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Effective Keywords Extraction Method Based on Deleting Actor Index
Keywords Extraction plays a very important role in the text-mining domain, since the keywords can represent the asserted main point in a document. Based on the term network and deleting actor index, an effective keywords extraction algorithm is proposed to extract high frequent terms as well as important terms with low frequencies. The experiment results support the conclusion.