Convert Topic Terms to Text Strings

Concatenates top terms for each topic into text strings suitable for embedding generation. Useful for creating topic representations for semantic similarity analysis.

Usage

get_topic_texts(
  top_terms_df,
  topic_var = "topic",
  term_var = "term",
  weight_var = NULL,
  sep = " ",
  top_n = NULL
)

Arguments

top_terms_df

A data frame containing top terms for topics, typically output from get_topic_terms.

topic_var

Name of the column containing topic identifiers (default: "topic").

term_var

Name of the column containing terms (default: "term").

weight_var

Optional name of column with term weights (e.g., "beta"). If provided, terms are ordered by weight before concatenation.

sep

Separator between terms (default: " ").

top_n

Optional number of top terms to include per topic (default: NULL, uses all).

Value

A character vector of topic text strings, one per topic, ordered by topic number.

Examples

# Topic-term frame as produced by get_topic_terms()
top_terms <- data.frame(
  topic = c(1, 1, 1, 2, 2, 2),
  term  = c("calculator", "arithmetic", "elementary",
            "computer", "instruction", "multiplication"),
  prob  = c(0.10, 0.08, 0.07, 0.12, 0.09, 0.06)
)
get_topic_texts(top_terms)
#> [1] "calculator arithmetic elementary"    "computer instruction multiplication"
get_topic_texts(top_terms, weight_var = "prob", top_n = 2)
#> [1] "calculator arithmetic" "computer instruction"