{"title":"Tweet topics on cancer among Indian Twitter users—computational approach using latent Dirichlet allocation topic modelling","authors":"Thilagavathi Ramamoorthy, Bagavandas Mappillairaju","doi":"10.1007/s42001-023-00222-x","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":29946,"journal":{"name":"Journal of Computational Social Science","volume":"3 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2023-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Social Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s42001-023-00222-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SOCIAL SCIENCES, MATHEMATICAL METHODS","Score":null,"Total":0}