{"title":"基于大规模分类语料库关键词索引的词聚类","authors":"Liu Hua","doi":"10.1109/IAS.2009.271","DOIUrl":null,"url":null,"abstract":"Keywords are indexed automatically for large-scale categorization corpora. Indexed keywords of more than 20 documents are selected as seed words, thus overcoming subjectivity of selecting seed words in clustering; at the same time, clustering is limited to particular category corpora and keywords indexed feature extraction method is adopted to obtain domanial words automatically, thus reducing noise of similarity calculation","PeriodicalId":240354,"journal":{"name":"2009 Fifth International Conference on Information Assurance and Security","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Words Clustering Based on Keywords Indexing from Large-scale Categorization Corpora\",\"authors\":\"Liu Hua\",\"doi\":\"10.1109/IAS.2009.271\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Keywords are indexed automatically for large-scale categorization corpora. Indexed keywords of more than 20 documents are selected as seed words, thus overcoming subjectivity of selecting seed words in clustering; at the same time, clustering is limited to particular category corpora and keywords indexed feature extraction method is adopted to obtain domanial words automatically, thus reducing noise of similarity calculation\",\"PeriodicalId\":240354,\"journal\":{\"name\":\"2009 Fifth International Conference on Information Assurance and Security\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Fifth International Conference on Information Assurance and Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAS.2009.271\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Fifth International Conference on Information Assurance and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAS.2009.271","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Words Clustering Based on Keywords Indexing from Large-scale Categorization Corpora
Keywords are indexed automatically for large-scale categorization corpora. Indexed keywords of more than 20 documents are selected as seed words, thus overcoming subjectivity of selecting seed words in clustering; at the same time, clustering is limited to particular category corpora and keywords indexed feature extraction method is adopted to obtain domanial words automatically, thus reducing noise of similarity calculation