Conversation Similarity Analysis R package conversim version 0.1.0 Analyze and compare conversations using various similarity measures including topic, lexical, semantic, structural, stylistic, sentiment, participant, and timing similarities. Supports both pairwise conversation comparisons and analysis of multiple dyads. Methods are based on established research: Topic modeling: Blei et al. (2003) <doi:10.1162/jmlr.2003.3.4-5.993>; Landauer et al. (1998) <doi:10.1080/01638539809545028>; Lexical similarity: Jaccard (1912) <doi:10.1111/j.1469-8137.1912.tb05611.x>; Semantic similarity: Salton & Buckley (1988) <doi:10.1016/0306-4573(88)90021-0>; Mikolov et al. (2013) <doi:10.48550/arXiv.1301.3781>; Pennington et al. (2014) <doi:10.3115/v1/D14-1162>; Structural and stylistic analysis: Graesser et al. (2004) <doi:10.1075/target.21131.ryu>; Sentiment analysis: Rinker (2019) <https://github.com/trinker/sentimentr>. Software Depends: R (>= 3.5.0) Imports: tm (>= 0.7-8), lsa (>= 0.73.2), topicmodels (>= 0.2-12), sentimentr (>= 2.7.1), word2vec, lme4, slam, ggplot2, stats Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Chao Liu <chaoliu@cedarville.edu> Comprehensive R Archive Network (CRAN) Chao Liu [aut, cre, cph] GPL (>= 3) 2024-09-20 application/tgz https://CRAN.R-project.org/package=conversim doi:10.32614/CRAN.package.conversim