{"title":"主题建模在R中的世界","authors":"Gregor Wiedemann","doi":"10.5771/1615-634x-2022-3-286","DOIUrl":null,"url":null,"abstract":"This software review provides a systematic overview of R packages for topic modeling. These packages facilitate the application of computational text analysis to conduct research compatible with a wide variety of methodological frameworks employed in the social and communication sciences. For this overview, the analysis process is divided into four steps: preprocessing, inference, evaluation, and interpretation of topic models. The summary shows that the wide selection of R packages available today provides easy-to-use access to this increasingly popular computational social science method and contributes to its methodical standardization.","PeriodicalId":36375,"journal":{"name":"Medien und Kommunikationswissenschaft","volume":"29 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The World of Topic Modeling in R\",\"authors\":\"Gregor Wiedemann\",\"doi\":\"10.5771/1615-634x-2022-3-286\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This software review provides a systematic overview of R packages for topic modeling. These packages facilitate the application of computational text analysis to conduct research compatible with a wide variety of methodological frameworks employed in the social and communication sciences. For this overview, the analysis process is divided into four steps: preprocessing, inference, evaluation, and interpretation of topic models. The summary shows that the wide selection of R packages available today provides easy-to-use access to this increasingly popular computational social science method and contributes to its methodical standardization.\",\"PeriodicalId\":36375,\"journal\":{\"name\":\"Medien und Kommunikationswissenschaft\",\"volume\":\"29 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Medien und Kommunikationswissenschaft\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5771/1615-634x-2022-3-286\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Arts and Humanities\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medien und Kommunikationswissenschaft","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5771/1615-634x-2022-3-286","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Arts and Humanities","Score":null,"Total":0}
This software review provides a systematic overview of R packages for topic modeling. These packages facilitate the application of computational text analysis to conduct research compatible with a wide variety of methodological frameworks employed in the social and communication sciences. For this overview, the analysis process is divided into four steps: preprocessing, inference, evaluation, and interpretation of topic models. The summary shows that the wide selection of R packages available today provides easy-to-use access to this increasingly popular computational social science method and contributes to its methodical standardization.