Package index • conversim

All functions

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_sim_seq(): Combine Similarity Measures

combine_sims(): Utility and visualization functions for speech similarity analysis

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

lex_sim_seq(): Calculate lexical similarity sequence for a single dyad

lexical_sim_dyads(): Calculate lexical similarity for multiple dyads

lexical_similarity(): Calculate lexical similarity between two conversations

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_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_sims(): Visualize similarity scores

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

sem_sim_seq(): Calculate semantic similarity sequence for a single dyad

semantic_sim_dyads(): Calculate semantic similarity for multiple dyads

semantic_similarity(): Calculate semantic similarity between two conversations

sent_sim_seq(): Calculate sentiment similarity sequence for a single dyad

sentiment_sim_dyads(): Calculate sentiment similarity for multiple dyads

sentiment_similarity(): Calculate sentiment similarity between two conversations

structural_sim_dyads(): Calculate structural similarity for multiple dyads

structural_similarity(): Calculate structural similarity between two conversations

style_sim_seq(): Calculate stylistic similarity sequence for a single dyad

stylistic_sim_dyads(): Calculate stylistic similarity for multiple dyads

stylistic_similarity(): Calculate stylistic similarity between two conversations

timing_sim_dyads(): Calculate timing similarity for multiple dyads

topic_sim_dyads(): Calculate topic similarity for multiple dyads

topic_sim_seq(): Calculate topic similarity sequence for a single dyad

topic_similarity(): Calculate topic similarity between two conversations