{"title":"健康新闻提要:在tweet中识别与个人相关的健康相关url","authors":"Robert Steele, K. Min","doi":"10.1109/ICIEA.2012.6360778","DOIUrl":null,"url":null,"abstract":"A common use of micro-blogging systems, such as Twitter, is to `tweet' or `re-tweet' URLs of the latest news articles. The challenge is that with the large number of such micro-blog posts, it is difficult to find and filter to just the most relevant news for an individual. In this paper, we propose and detail the health news feed system which utilises a three-stage filtering and categorisation process with three types of knowledge resources using natural language processing (NLP) technologies for filtering and extracting personally-relevant health-related news articles referred to in tweets. The three stages are term-based filtering, content filtering, and categorization.","PeriodicalId":220747,"journal":{"name":"2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"53 87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Health news feed: Identifying personally relevant health-related URLs in tweets\",\"authors\":\"Robert Steele, K. Min\",\"doi\":\"10.1109/ICIEA.2012.6360778\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A common use of micro-blogging systems, such as Twitter, is to `tweet' or `re-tweet' URLs of the latest news articles. The challenge is that with the large number of such micro-blog posts, it is difficult to find and filter to just the most relevant news for an individual. In this paper, we propose and detail the health news feed system which utilises a three-stage filtering and categorisation process with three types of knowledge resources using natural language processing (NLP) technologies for filtering and extracting personally-relevant health-related news articles referred to in tweets. The three stages are term-based filtering, content filtering, and categorization.\",\"PeriodicalId\":220747,\"journal\":{\"name\":\"2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)\",\"volume\":\"53 87 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIEA.2012.6360778\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2012.6360778","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Health news feed: Identifying personally relevant health-related URLs in tweets
A common use of micro-blogging systems, such as Twitter, is to `tweet' or `re-tweet' URLs of the latest news articles. The challenge is that with the large number of such micro-blog posts, it is difficult to find and filter to just the most relevant news for an individual. In this paper, we propose and detail the health news feed system which utilises a three-stage filtering and categorisation process with three types of knowledge resources using natural language processing (NLP) technologies for filtering and extracting personally-relevant health-related news articles referred to in tweets. The three stages are term-based filtering, content filtering, and categorization.
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