Plot Word Frequency Trends Over Time — word_frequency

Analyze and visualize word frequency trends over time for a fixed term column.

Usage

word_frequency_trends(
  dfm_object,
  stm_model,
  time_variable,
  selected_terms,
  height = 500,
  width = 1000
)

Arguments

dfm_object: A quanteda document-feature matrix (dfm).
stm_model: An STM model object.
time_variable: The column name for the time variable (e.g., "year").
selected_terms: A vector of terms to analyze trends for.
height: The height of the resulting Plotly plot, in pixels. Defaults to 500.
width: The width of the resulting Plotly plot, in pixels. Defaults to 1000.

Value

A Plotly object showing interactive word frequency trends over time.

Details

This function requires a fitted STM model object and a quanteda dfm object.

Examples

if (interactive()) {
  df <- TextAnalysisR::SpecialEduTech
  united_tbl <- TextAnalysisR::unite_text_cols(df, listed_vars = c("title", "keyword", "abstract"))
  tokens <- TextAnalysisR::preprocess_texts(united_tbl, text_field = "united_texts")
  dfm_object <- quanteda::dfm(tokens)
  stm_15 <- TextAnalysisR::stm_15
  TextAnalysisR::word_frequency_trends(dfm_object,
                                    stm_model = stm_15,
                                    time_variable = "year",
                                    selected_terms = c("calculator", "computer"),
                                    height = 500,
                                    width = 1000)
}