# Conversation Similarity Analysis

## Documentation for package ‘conversim’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

agg_seq | Aggregate Similarity Sequence
calc_sim_cor | Calculate correlation between similarity measures
calc_sim_seq | Calculate similarity sequence
calc_sum_stats | Calculate summary statistics for similarities
combine_sims | Utility and visualization functions for speech similarity analysis
combine_sim_seq | Combine Similarity Measures
compare_sim_meas | Compare multiple similarity measures
compare_style | Compare stylistic features
cor_sim_seq | Calculate Correlation Between Similarity Measures for a Single Dyad
create_windows | Create windows from a conversation
gen_sim_report | Generate similarity report
heatmap_sim | Create Similarity Heatmap
lexical_similarity | Calculate lexical similarity between two conversations
lexical_sim_dyads | Calculate lexical similarity for multiple dyads
lex_sim_seq | Calculate lexical similarity sequence for a single dyad
norm_sim | Normalize Similarity Scores
participant_sim_dyads | Calculate participant similarity for multiple dyads
plot_cor_heatmap | Plot Correlation Heatmap for a Single Dyad
plot_sims | Visualize similarity scores
plot_sim_comp | Plot comparison of multiple similarity measures
plot_sim_cor_heatmap | Plot heatmap of similarity measure correlations
plot_sim_multi | Plot Multiple Similarity Measures
plot_sim_seq | Plot Similarity Sequence
plot_sim_time | Plot similarity over time for multiple dyads
plot_sum_stats | Plot summary statistics for similarities
preprocess_dyads | Preprocess multiple dyad conversations
preprocess_text | This file contains core similarity calculation functions such as topic similarity, lexical similarity, semantic similarity, structural similarity, stylistic similarity, sentiment similarity, participant similarity, and timing similarity.
print_sim_report | Print similarity report
radar_sim | Create Radar Chart of Average Similarities
run_example | Run package examples
semantic_similarity | Calculate semantic similarity between two conversations
semantic_sim_dyads | Calculate semantic similarity for multiple dyads
sem_sim_seq | Calculate semantic similarity sequence for a single dyad
sentiment_similarity | Calculate sentiment similarity between two conversations
sentiment_sim_dyads | Calculate sentiment similarity for multiple dyads
sent_sim_seq | Calculate sentiment similarity sequence for a single dyad
structural_similarity | Calculate structural similarity between two conversations
structural_sim_dyads | Calculate structural similarity for multiple dyads
style_sim_seq | Calculate stylistic similarity sequence for a single dyad
stylistic_similarity | Calculate stylistic similarity between two conversations
stylistic_sim_dyads | Calculate stylistic similarity for multiple dyads
timing_sim_dyads | Calculate timing similarity for multiple dyads
topic_similarity | Calculate topic similarity between two conversations
topic_sim_dyads | Calculate topic similarity for multiple dyads
topic_sim_seq | Calculate topic similarity sequence for a single dyad