{"title":"一种基于审查一致性度量的垃圾邮件审查检测方法","authors":"Xinkai Yang","doi":"10.1109/ICAIOT.2015.7111547","DOIUrl":null,"url":null,"abstract":"In this paper, we propose an iterative computation framework to detect spam reviews based on coherent examination. We first define some reviews' coherent metrics to analyze review coherence in the granularity of sentence. Then the framework and its evaluation process are discussed in details.","PeriodicalId":310429,"journal":{"name":"Proceedings of 2015 International Conference on Intelligent Computing and Internet of Things","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"One methodology for spam review detection based on review coherence metrics\",\"authors\":\"Xinkai Yang\",\"doi\":\"10.1109/ICAIOT.2015.7111547\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose an iterative computation framework to detect spam reviews based on coherent examination. We first define some reviews' coherent metrics to analyze review coherence in the granularity of sentence. Then the framework and its evaluation process are discussed in details.\",\"PeriodicalId\":310429,\"journal\":{\"name\":\"Proceedings of 2015 International Conference on Intelligent Computing and Internet of Things\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 2015 International Conference on Intelligent Computing and Internet of Things\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAIOT.2015.7111547\",\"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 2015 International Conference on Intelligent Computing and Internet of Things","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIOT.2015.7111547","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
One methodology for spam review detection based on review coherence metrics
In this paper, we propose an iterative computation framework to detect spam reviews based on coherent examination. We first define some reviews' coherent metrics to analyze review coherence in the granularity of sentence. Then the framework and its evaluation process are discussed in details.