tag:joss.theoj.org,2005:/papers/reviewed_by/@kbenoitJournal of Open Source Software2022-04-10T06:48:59ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/31842022-04-10T06:48:59Z2022-04-11T00:01:05Zsweater: Speedy Word Embedding Association Test and Extras Using Racceptedv0.1.02021-11-20 13:33:14 UTC722022-04-10 06:48:59 UTC720224036Chung-hongChanMannheimer Zentrum für Europäische Sozialforschung, Universität Mannheim0000-0002-6232-753010.21105/joss.04036https://doi.org/10.5281/zenodo.6421527R, Java, Python, C++https://joss.theoj.org/papers/10.21105/joss.04036.pdfword embedding, implicit bias, media bias, algorithmic accountabilitytag:joss.theoj.org,2005:Paper/9302019-06-13T13:25:48Z2021-02-15T11:32:24Zcorporaexplorer: An R package for dynamic exploration of text collectionsacceptedv0.4.02019-03-17 23:10:42 UTC382019-06-13 13:25:48 UTC420191342KristianLundbyGjerdeResearch Fellow, Norwegian Institute of International Affairs (NUPI)0000-0001-8291-683710.21105/joss.01342https://doi.org/10.5281/zenodo.3239136R, JavaScripthttps://joss.theoj.org/papers/10.21105/joss.01342.pdfqualitative research, mixed methods, text analysis, corpora, Shinytag:joss.theoj.org,2005:Paper/7052019-06-12T16:15:44Z2021-02-19T14:34:34ZReinforcementLearning: A Package to Perform Model-Free Reinforcement Learning in Racceptedv1.0.22018-10-22 17:31:07 UTC382019-06-12 16:15:44 UTC420191087NicolasPröellochsUniversity of Giessen, University of OxfordStefanFeuerriegelETH Zurich10.21105/joss.01087https://doi.org/10.5281/zenodo.3244170Rhttps://joss.theoj.org/papers/10.21105/joss.01087.pdfReinforcement Learning, Batch Learning, Experience Replay, Q-Learningtag: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