{"title":"自动文本处理西班牙文本","authors":"M. Daniela, López De Luise, M. Soffer","doi":"10.1109/CERMA.2008.50","DOIUrl":null,"url":null,"abstract":"This work focuses on some aspects of automatic text processing by using a metric named po defined in a working prototype WIB (Web Intelligent Browser). The word weighting generated by this metric is defined with morphosyntactic considerations and allows the categorization of text words in fuzzy clusters. This weighting could also be used as a model of the original text at a sentence and paragraph level. A case study is presented here to help analyze the interpretation of the categories.","PeriodicalId":126172,"journal":{"name":"2008 Electronics, Robotics and Automotive Mechanics Conference (CERMA '08)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Automatic Text Processing for Spanish Texts\",\"authors\":\"M. Daniela, López De Luise, M. Soffer\",\"doi\":\"10.1109/CERMA.2008.50\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work focuses on some aspects of automatic text processing by using a metric named po defined in a working prototype WIB (Web Intelligent Browser). The word weighting generated by this metric is defined with morphosyntactic considerations and allows the categorization of text words in fuzzy clusters. This weighting could also be used as a model of the original text at a sentence and paragraph level. A case study is presented here to help analyze the interpretation of the categories.\",\"PeriodicalId\":126172,\"journal\":{\"name\":\"2008 Electronics, Robotics and Automotive Mechanics Conference (CERMA '08)\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Electronics, Robotics and Automotive Mechanics Conference (CERMA '08)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CERMA.2008.50\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Electronics, Robotics and Automotive Mechanics Conference (CERMA '08)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CERMA.2008.50","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This work focuses on some aspects of automatic text processing by using a metric named po defined in a working prototype WIB (Web Intelligent Browser). The word weighting generated by this metric is defined with morphosyntactic considerations and allows the categorization of text words in fuzzy clusters. This weighting could also be used as a model of the original text at a sentence and paragraph level. A case study is presented here to help analyze the interpretation of the categories.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
