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Plot Semantic Analysis Visualization

Source: R/semantic_analysis.R
plot_semantic_viz.Rd

Creates interactive visualizations for semantic analysis results including similarity heatmaps, dimensionality reduction plots, and clustering visualizations.

Usage

plot_semantic_viz(
  analysis_result = NULL,
  plot_type = "similarity",
  data_labels = NULL,
  color_by = NULL,
  height = 600,
  width = 800,
  title = NULL,
  coords = NULL,
  clusters = NULL,
  hover_text = NULL,
  hover_config = NULL,
  cluster_colors = NULL
)

Arguments

analysis_result

A list containing semantic analysis results from functions like semantic_similarity_analysis(), semantic_document_clustering(), or reduce_dimensions().

plot_type

Type of visualization: "similarity" for heatmap, "dimensionality_reduction" for scatter plot, or "clustering" for cluster visualization (default: "similarity").

data_labels

Optional character vector of labels for data points (default: NULL).

color_by

Optional variable to color points by in scatter plots (default: NULL).

height

The height of the resulting Plotly plot, in pixels (default: 600).

width

The width of the resulting Plotly plot, in pixels (default: 800).

title

Optional custom title for the plot (default: NULL).

coords

Optional pre-computed coordinates for dimensionality reduction plots (default: NULL).

clusters

Optional cluster assignments vector (default: NULL).

hover_text

Optional custom hover text for points (default: NULL).

hover_config

Optional hover configuration list (default: NULL).

cluster_colors

Optional color palette for clusters (default: NULL).

Value

A plotly object showing the specified visualization.

See also

Other visualization: apply_standard_plotly_layout(), create_empty_plot_message(), create_message_table(), create_standard_ggplot_theme(), get_dt_options(), get_plotly_hover_config(), get_sentiment_color(), get_sentiment_colors(), plot_cluster_terms(), plot_cross_category_heatmap(), plot_entity_frequencies(), plot_lexical_dispersion(), plot_log_odds_ratio(), plot_mwe_frequency(), plot_ngram_frequency(), plot_pos_frequencies(), plot_similarity_heatmap(), plot_term_trends_continuous(), plot_weighted_log_odds(), plot_word_frequency()

Examples

if (interactive()) {
  data(SpecialEduTech)
  texts <- SpecialEduTech$abstract[1:5]
  result <- semantic_similarity_analysis(texts)
  plot <- plot_semantic_viz(result, plot_type = "similarity")
  print(plot)
}