{ "_id": "6a106515acfb0bcc41ca8a50", "Package": "conversim", "Title": "Conversation Similarity Analysis Package", "Version": "0.1.0", "Authors@R": "person(\"Chao Liu\", email = \"chaoliu@cedarville.edu\", role = c(\"aut\", \"cre\", \"cph\"))", "Description": "A comprehensive toolkit for analyzing and comparing\nconversations. This package provides functions to calculate\nvarious similarity measures between conversations, including\ntopic, lexical, semantic, structural, stylistic, sentiment,\nparticipant, and timing similarities. 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"page": "combine_sims", "title": "Utility and visualization functions for speech similarity analysis", "topics": [ "combine_sims" ] }, { "page": "compare_sim_meas", "title": "Compare multiple similarity measures", "topics": [ "compare_sim_meas" ] }, { "page": "compare_style", "title": "Compare stylistic features", "topics": [ "compare_style" ] }, { "page": "cor_sim_seq", "title": "Calculate Correlation Between Similarity Measures for a Single Dyad", "topics": [ "cor_sim_seq" ] }, { "page": "create_windows", "title": "Create windows from a conversation", "topics": [ "create_windows" ] }, { "page": "gen_sim_report", "title": "Generate similarity report", "topics": [ "gen_sim_report" ] }, { "page": "heatmap_sim", "title": "Create Similarity Heatmap", "topics": [ "heatmap_sim" ] }, { "page": "lex_sim_seq", "title": "Calculate lexical similarity sequence for a single dyad", "topics": [ "lex_sim_seq" ] }, { "page": "lexical_sim_dyads", "title": "Calculate lexical similarity for multiple dyads", "topics": [ "lexical_sim_dyads" ] }, { "page": "lexical_similarity", "title": "Calculate lexical similarity between two conversations", "topics": [ "lexical_similarity" ] }, { "page": "norm_sim", "title": "Normalize Similarity Scores", "topics": [ "norm_sim" ] }, { "page": "participant_sim_dyads", "title": "Calculate participant similarity for multiple dyads", "topics": [ "participant_sim_dyads" ] }, { "page": "plot_cor_heatmap", "title": "Plot Correlation Heatmap for a Single Dyad", "topics": [ "plot_cor_heatmap" ] }, { "page": "plot_sim_comp", "title": "Plot comparison of multiple similarity measures", "topics": [ "plot_sim_comp" ] }, { "page": "plot_sim_cor_heatmap", "title": "Plot heatmap of similarity measure correlations", "topics": [ "plot_sim_cor_heatmap" ] }, { "page": "plot_sim_multi", "title": "Plot Multiple Similarity Measures", "topics": [ "plot_sim_multi" ] }, { "page": "plot_sim_seq", "title": "Plot Similarity Sequence", "topics": [ "plot_sim_seq" ] }, { "page": "plot_sim_time", "title": "Plot similarity over time for multiple dyads", "topics": [ "plot_sim_time" ] }, { "page": "plot_sims", "title": "Visualize similarity scores", "topics": [ "plot_sims" ] }, { "page": "plot_sum_stats", "title": "Plot summary statistics for similarities", "topics": [ "plot_sum_stats" ] }, { "page": "preprocess_dyads", "title": "Preprocess multiple dyad conversations", "topics": [ "preprocess_dyads" ] }, { "page": "preprocess_text", "title": "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.", "topics": [ "preprocess_text" ] }, { "page": "print_sim_report", "title": "Print similarity report", "topics": [ "print_sim_report" ] }, { "page": "radar_sim", "title": "Create Radar Chart of Average Similarities", "topics": [ "radar_sim" ] }, { "page": "run_example", "title": "Run package 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