{"title":"使用基于语料库的相似性度量聚类僧伽罗语新闻文章","authors":"P. Nanayakkara, Surangika Ranathunga","doi":"10.1109/MERCON.2018.8421890","DOIUrl":null,"url":null,"abstract":"News aggregators help readers to handle large numbers of news items in a convenient manner by collecting them into a single place with meaningful groupings. Such news aggregators/clusters are available for English and some other popular languages. However, no such tools are available for Sinhala language. To address this void, this paper presents a system to collect news articles published across the web and group related articles using corpus-based similarity measures. Despite the simplicity of the technique and morphological richness of Sinhala, we achieved very promising results that prove the viability of the presented technique.","PeriodicalId":6603,"journal":{"name":"2018 Moratuwa Engineering Research Conference (MERCon)","volume":"1 1","pages":"437-442"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Clustering Sinhala News Articles Using Corpus-Based Similarity Measures\",\"authors\":\"P. Nanayakkara, Surangika Ranathunga\",\"doi\":\"10.1109/MERCON.2018.8421890\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"News aggregators help readers to handle large numbers of news items in a convenient manner by collecting them into a single place with meaningful groupings. Such news aggregators/clusters are available for English and some other popular languages. However, no such tools are available for Sinhala language. To address this void, this paper presents a system to collect news articles published across the web and group related articles using corpus-based similarity measures. Despite the simplicity of the technique and morphological richness of Sinhala, we achieved very promising results that prove the viability of the presented technique.\",\"PeriodicalId\":6603,\"journal\":{\"name\":\"2018 Moratuwa Engineering Research Conference (MERCon)\",\"volume\":\"1 1\",\"pages\":\"437-442\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Moratuwa Engineering Research Conference (MERCon)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MERCON.2018.8421890\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Moratuwa Engineering Research Conference (MERCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MERCON.2018.8421890","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Clustering Sinhala News Articles Using Corpus-Based Similarity Measures
News aggregators help readers to handle large numbers of news items in a convenient manner by collecting them into a single place with meaningful groupings. Such news aggregators/clusters are available for English and some other popular languages. However, no such tools are available for Sinhala language. To address this void, this paper presents a system to collect news articles published across the web and group related articles using corpus-based similarity measures. Despite the simplicity of the technique and morphological richness of Sinhala, we achieved very promising results that prove the viability of the presented technique.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
