{"title":"利用机器学习检测虚假评论","authors":"G. M, Y.S.N Siva Teja, K.Ajay Sharma","doi":"10.36647/ciml/04.02.a002","DOIUrl":null,"url":null,"abstract":"Online reviews have become increasingly important in the world of e-commerce, serving as a powerful tool to establish a business's reputation and attract new customers. However, the rise of fake reviews has become a growing concern as they can skew the reputation of a business and deceive potential customers. As a result, detecting fake reviews has become a key area of research in recent years.","PeriodicalId":203221,"journal":{"name":"Computational Intelligence and Machine Learning","volume":"71 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fake Review Detection using Machine Learning\",\"authors\":\"G. M, Y.S.N Siva Teja, K.Ajay Sharma\",\"doi\":\"10.36647/ciml/04.02.a002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Online reviews have become increasingly important in the world of e-commerce, serving as a powerful tool to establish a business's reputation and attract new customers. However, the rise of fake reviews has become a growing concern as they can skew the reputation of a business and deceive potential customers. As a result, detecting fake reviews has become a key area of research in recent years.\",\"PeriodicalId\":203221,\"journal\":{\"name\":\"Computational Intelligence and Machine Learning\",\"volume\":\"71 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational Intelligence and Machine Learning\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36647/ciml/04.02.a002\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Intelligence and Machine Learning","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36647/ciml/04.02.a002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Online reviews have become increasingly important in the world of e-commerce, serving as a powerful tool to establish a business's reputation and attract new customers. However, the rise of fake reviews has become a growing concern as they can skew the reputation of a business and deceive potential customers. As a result, detecting fake reviews has become a key area of research in recent years.