Michael J. Muller, Shion Guha, E. Baumer, David Mimno, N. Shami
{"title":"Machine Learning and Grounded Theory Method: Convergence, Divergence, and Combination","authors":"Michael J. Muller, Shion Guha, E. Baumer, David Mimno, N. Shami","doi":"10.1145/2957276.2957280","DOIUrl":null,"url":null,"abstract":"Grounded Theory Method (GTM) and Machine Learning (ML) are often considered to be quite different. In this note, we explore unexpected convergences between these methods. We propose new research directions that can further clarify the relationships between these methods, and that can use those relationships to strengthen our ability to describe our phenomena and develop stronger hybrid theories.","PeriodicalId":244100,"journal":{"name":"Proceedings of the 2016 ACM International Conference on Supporting Group Work","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"72","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2016 ACM International Conference on Supporting Group Work","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2957276.2957280","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 72
Abstract
Grounded Theory Method (GTM) and Machine Learning (ML) are often considered to be quite different. In this note, we explore unexpected convergences between these methods. We propose new research directions that can further clarify the relationships between these methods, and that can use those relationships to strengthen our ability to describe our phenomena and develop stronger hybrid theories.