A comprehensive comparison and analysis of machine learning algorithms including evaluation optimized for geographic location prediction based on Twitter tweets datasets
{"title":"A comprehensive comparison and analysis of machine learning algorithms including evaluation optimized for geographic location prediction based on Twitter tweets datasets","authors":"Hasti Samadi, Mohammed Ahsan Kollathodi","doi":"10.1080/23311916.2023.2232602","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":10464,"journal":{"name":"Cogent Engineering","volume":" ","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cogent Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23311916.2023.2232602","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
期刊介绍：
One of the largest, multidisciplinary open access engineering journals of peer-reviewed research, Cogent Engineering, part of the Taylor & Francis Group, covers all areas of engineering and technology, from chemical engineering to computer science, and mechanical to materials engineering. Cogent Engineering encourages interdisciplinary research and also accepts negative results, software article, replication studies and reviews.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
