{"title":"用于文本分类的文档自展开","authors":"Yuen-Hsien Tseng, Da-Wei Juang","doi":"10.1145/860435.860520","DOIUrl":null,"url":null,"abstract":"Approaches to increase training examples to hopefully improve classification effectiveness are proposed in this work. The approaches were verified by use of two Chinese collections classified by two top-performing classifiers.","PeriodicalId":209809,"journal":{"name":"Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Document-self expansion for text categorization\",\"authors\":\"Yuen-Hsien Tseng, Da-Wei Juang\",\"doi\":\"10.1145/860435.860520\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Approaches to increase training examples to hopefully improve classification effectiveness are proposed in this work. The approaches were verified by use of two Chinese collections classified by two top-performing classifiers.\",\"PeriodicalId\":209809,\"journal\":{\"name\":\"Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/860435.860520\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/860435.860520","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Approaches to increase training examples to hopefully improve classification effectiveness are proposed in this work. The approaches were verified by use of two Chinese collections classified by two top-performing classifiers.