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Plot Multi-Word Expression Frequency

Source: R/lexical_analysis.R
plot_mwe_frequency.Rd

Creates a bar plot showing multi-word expression frequencies with optional source-based coloring to distinguish between detected and manually added expressions.

Usage

plot_mwe_frequency(
  mwe_data,
  title = "Multi-Word Expression Frequency",
  color_by_source = TRUE,
  primary_color = "#10B981",
  secondary_color = "#A855F7",
  height = 500,
  width = NULL
)

Arguments

mwe_data

Data frame containing MWE data with columns:

  • feature: The multi-word expression text

  • frequency: Frequency count

  • rank: (optional) Rank of the expression

  • docfreq: (optional) Document frequency

  • source: (optional) Source category (e.g., "Top 20", "Manual")

title

Plot title (default: "Multi-Word Expression Frequency")

color_by_source

Whether to color bars by source column (default: TRUE)

primary_color

Color for primary/top expressions (default: "#10B981")

secondary_color

Color for secondary/manual expressions (default: "#A855F7")

height

Plot height in pixels (default: 500)

width

Plot width in pixels (default: NULL for auto)

Value

A plotly object

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_ngram_frequency(), plot_pos_frequencies(), plot_semantic_viz(), plot_similarity_heatmap(), plot_term_trends_continuous(), plot_word_frequency()