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conversim  

Conversation Similarity Analysis
View on CRAN: Click here


Download and install conversim package within the R console
Install from CRAN:
install.packages("conversim")

Install from Github:
library("remotes")
install_github("cran/conversim")

Install by package version:
library("remotes")
install_version("conversim", "0.1.0")



Attach the package and use:
library("conversim")
Maintained by
Chao Liu
[Scholar Profile | Author Map]
First Published: 2024-09-20
Latest Update: 2024-09-20
Description:
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>.
How to cite:
Chao Liu (2024). conversim: Conversation Similarity Analysis. R package version 0.1.0, https://cran.r-project.org/web/packages/conversim. Accessed 03 May. 2025.
Previous versions and publish date:
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Complete documentation for conversim
Functions, R codes and Examples using the conversim R package
Full conversim package functions and examples
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