Avinash Kumar Bamwal, G. Choudhary, Raj Swamim, Aman Kedia, Saptarsi Goswami, A. Das
{"title":"Application of twitter in health care sector for India","authors":"Avinash Kumar Bamwal, G. Choudhary, Raj Swamim, Aman Kedia, Saptarsi Goswami, A. Das","doi":"10.1109/RAIT.2016.7507896","DOIUrl":null,"url":null,"abstract":"One of the reasons of exponential growth of unstructured data is increasing popularity of various social media and blogging sites. This vast amount of data can be utilized to form insights and take necessary actions. While it has been extensively used in developed countries, there has been a lack of focused studies based on tweets in context of India. In this paper, 15K + Tweets have been collected using an efficient method and the same has been used to answer few relevant questions about Indian Healthcare. The study seems to be quite effective and a repository of such tweets can be built for a more holistic and structured analysis.","PeriodicalId":289216,"journal":{"name":"2016 3rd International Conference on Recent Advances in Information Technology (RAIT)","volume":"191 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 3rd International Conference on Recent Advances in Information Technology (RAIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAIT.2016.7507896","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
One of the reasons of exponential growth of unstructured data is increasing popularity of various social media and blogging sites. This vast amount of data can be utilized to form insights and take necessary actions. While it has been extensively used in developed countries, there has been a lack of focused studies based on tweets in context of India. In this paper, 15K + Tweets have been collected using an efficient method and the same has been used to answer few relevant questions about Indian Healthcare. The study seems to be quite effective and a repository of such tweets can be built for a more holistic and structured analysis.