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>.
Version: 0.1.0 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) Published: 2024-09-20 DOI: 10.32614/CRAN.package.conversim Author: Chao Liu [aut, cre, cph] Maintainer: Chao Liu <chaoliu at cedarville.edu> BugReports: https://github.com/chaoliu-cl/conversim/issues License: GPL (≥ 3) URL: https://github.com/chaoliu-cl/conversim, http://liu-chao.site/conversim/ NeedsCompilation: no Materials: README CRAN checks: conversim results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=conversim to link to this page.
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