plot_sum_stats

This function creates a ggplot object showing summary statistics for similarities of multiple dyads.

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>.

Chao Liu Liu

conversim

Conversation Similarity Analysis

Chao Liu 

plot_sum_stats function

<dl><dt>summary_stats</dt>
<dd>A data frame with summary statistics for each dyad</dd>
<dt>title</dt>
<dd>A string specifying the plot title</dd></dl>

Arguments

Plot summary statistics for similarities — plot_sum_stats

<dl>

<dt>summary_stats</dt>
<dd>A data frame with summary statistics for each dyad</dd>


<dt>title</dt>
<dd>A string specifying the plot title</dd>

</dl>

plot_sum_stats: Plot summary statistics for similarities

Description

Usage

Value

Arguments

Examples