R. Devika, S. Revathy, Sai surriya Priyanka U, V. Subramaniya swamy
{"title":"Survey on clustering techniques in Twitter data","authors":"R. Devika, S. Revathy, Sai surriya Priyanka U, V. Subramaniya swamy","doi":"10.1109/ICCMC.2018.8487969","DOIUrl":null,"url":null,"abstract":"Social networks and online news services are used by users to communicate and share messages. One such social network is Twitter. Earlier its messages were restricted to 140 characters, but from November 7, 2017 its limit was extended to 280 characters except Japanese, Korean and Chinese languages. Because of restricted characters used, it is famously called micro blogging. Mining twitter data has become popular, because it provides useful information which is being used in various fields. This paper highlights various clustering techniques that can be used in twitter data mining with advantages and limitation.","PeriodicalId":6604,"journal":{"name":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","volume":"20 1","pages":"1073-1077"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMC.2018.8487969","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Social networks and online news services are used by users to communicate and share messages. One such social network is Twitter. Earlier its messages were restricted to 140 characters, but from November 7, 2017 its limit was extended to 280 characters except Japanese, Korean and Chinese languages. Because of restricted characters used, it is famously called micro blogging. Mining twitter data has become popular, because it provides useful information which is being used in various fields. This paper highlights various clustering techniques that can be used in twitter data mining with advantages and limitation.
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
