tag:joss.theoj.org,2005:/papers/tagged/twitterJournal of Open Source Software2021-06-07T17:04:41ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/26672021-06-07T17:04:41Z2021-06-08T00:00:27ZacademictwitteR: an R package to access the Twitter Academic Research Product Track v2 API endpointacceptedv0.1.02021-05-10 13:54:29 UTC622021-06-07 17:04:41 UTC620213272ChristopherBarrieSchool of Social and Political Sciences, University of Edinburgh, Scotland, UK.0000-0002-9156-990XJustinChun-tingHoCentre for European Studies and Comparative Politics, Sciences Po, France.0000-0002-7884-105910.21105/joss.03272https://doi.org/10.5281/zenodo.4905468Rhttps://joss.theoj.org/papers/10.21105/joss.03272.pdftwitter, social media, APItag:joss.theoj.org,2005:Paper/16762020-10-26T17:52:10Z2021-02-15T11:30:40ZTTLocVis: A Twitter Topic Location Visualization Packageacceptedv0.1.02020-05-22 20:11:51 UTC542020-10-26 17:52:10 UTC520202507GillianKantCentre for Statistics, Georg-August-Universität Göttingen, Germany0000-0003-2346-2841ChristophWeisserCentre for Statistics, Georg-August-Universität Göttingen, Germany, Campus-Institut Data Science, Göttingen, Germany0000-0003-0616-1027BenjaminSäfkenCentre for Statistics, Georg-August-Universität Göttingen, Germany, Campus-Institut Data Science, Göttingen, Germany0000-0003-4702-333310.21105/joss.02507https://doi.org/10.5281/zenodo.4133399Pythonhttps://joss.theoj.org/papers/10.21105/joss.02507.pdfTwitter, Topic Modelling, LDA, Latent Dirichlet Allocation, Visualization, Spatial Modelling, Geocoded Text, Hashtag-Pooling Algorithm, Natural Language Processing, Machine Learningtag:joss.theoj.org,2005:Paper/12992019-10-24T18:47:13Z2021-02-15T11:31:29Zrtweet: Collecting and analyzing Twitter dataacceptedv0.7.02019-10-21 18:52:01 UTC422019-10-24 18:47:13 UTC420191829MichaelW.KearneySchool of Journalism, Informatics Institute, University of Missouri0000-0002-0730-469410.21105/joss.01829https://doi.org/10.5281/zenodo.3515425Rhttps://joss.theoj.org/papers/10.21105/joss.01829.pdftwitter, social media, APItag:joss.theoj.org,2005:Paper/11752019-10-18T20:13:54Z2021-02-15T11:31:44ZBotSlayer: real-time detection of bot amplification on Twitteracceptedv1.0.02019-08-20 17:59:46 UTC422019-10-18 20:13:54 UTC420191706Pik-MaiHuiCenter for Complex Networks \& Systems Research, Indiana UniversityKai-ChengYangCenter for Complex Networks \& Systems Research, Indiana UniversityChristopherTorres-LugoCenter for Complex Networks \& Systems Research, Indiana UniversityZacharyMonroeCenter for Complex Networks \& Systems Research, Indiana UniversityMarcMcCartyIndiana University Network Science InstituteBenjaminD.SerretteIndiana University Network Science InstituteValentinPentchevIndiana University Network Science InstituteFilippoMenczerCenter for Complex Networks \& Systems Research, Indiana University, Indiana University Network Science Institute10.21105/joss.01706https://doi.org/10.5281/zenodo.3492278Python, JavaScript, Vuehttps://joss.theoj.org/papers/10.21105/joss.01706.pdfTwitter, bot, amplificationtag:joss.theoj.org,2005:Paper/4662019-02-27T15:02:07Z2021-02-15T11:33:28ZSentiment Analysis of Twitter Data (saotd)accepted0.1.02018-04-17 19:22:48 UTC342019-02-27 15:02:07 UTC42019764EvanL.MunsonAir Force Institure of Technology0000-0002-9958-6800ChristopherM.SmithAir Force Institure of Technology0000-0002-8288-270XBradleyC.BoehmkeAir Force Institure of Technology0000-0002-3611-8516JasonK.FreelsAir Force Institure of Technology0000-0002-2415-034010.21105/joss.00764https://doi.org/10.5281/zenodo.2578973Rhttps://joss.theoj.org/papers/10.21105/joss.00764.pdftext mining, sentiment analysis, natural language processing, latent dirichlet allocation, twitter sentiment analysis