{"title":"改进谱平分法在马来语文档分割中的应用","authors":"P. Dhanya, M. Jathavedan","doi":"10.1109/ICACC.2013.13","DOIUrl":null,"url":null,"abstract":"Topic Segmentation has been an area of interest for Text summarizers. Many of the Malayalam documents confirm to a main topic as well as many subtopics. This paper presents the idea of using the repeated spectral bisection method to find the subtopics in the document. This method is a widely used for partitioning graphs based on the properties of the similarity matrix created.","PeriodicalId":109537,"journal":{"name":"2013 Third International Conference on Advances in Computing and Communications","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of Modified Spectral Bisection for Segmenting Malayalam Documents\",\"authors\":\"P. Dhanya, M. Jathavedan\",\"doi\":\"10.1109/ICACC.2013.13\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Topic Segmentation has been an area of interest for Text summarizers. Many of the Malayalam documents confirm to a main topic as well as many subtopics. This paper presents the idea of using the repeated spectral bisection method to find the subtopics in the document. This method is a widely used for partitioning graphs based on the properties of the similarity matrix created.\",\"PeriodicalId\":109537,\"journal\":{\"name\":\"2013 Third International Conference on Advances in Computing and Communications\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Third International Conference on Advances in Computing and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACC.2013.13\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Third International Conference on Advances in Computing and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACC.2013.13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Modified Spectral Bisection for Segmenting Malayalam Documents
Topic Segmentation has been an area of interest for Text summarizers. Many of the Malayalam documents confirm to a main topic as well as many subtopics. This paper presents the idea of using the repeated spectral bisection method to find the subtopics in the document. This method is a widely used for partitioning graphs based on the properties of the similarity matrix created.