combine_sims

This file contains utility functions and visualization tools to complement
the main similarity calculation functions for comparing two speeches.
Combine multiple similarity measures

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 

combine_sims function

<dl><dt>similarities</dt>
<dd>A named list of similarity scores</dd>
<dt>weights</dt>
<dd>A named list of weights for each similarity measure (optional)</dd></dl>

Arguments

Utility and visualization functions for speech similarity analysis — combine_sims

<dl>

<dt>similarities</dt>
<dd>A named list of similarity scores</dd>


<dt>weights</dt>
<dd>A named list of weights for each similarity measure (optional)</dd>

</dl>

combine_sims: Utility and visualization functions for speech similarity analysis

Description

Usage

Value

Arguments

Details

Examples