bertopicr (version 0.3.6)

find_topics_df: Find Topics DataFrame Function

Description

This function finds the most similar topics to given keywords using a BERTopic model and returns the results in a data frame or tibble format.

Usage

find_topics_df(model, queries, top_n = 10, return_tibble = TRUE)

Value

A data.frame or tibble with columns for the keyword, topics, and similarity scores for each query.

Arguments

model

A BERTopic model object. Must be passed from the calling environment.

queries

A vector of keywords or phrases to query the topics for.

top_n

Number of top similar topics to retrieve for each query. Default is 10.

return_tibble

Logical. If TRUE, returns a tibble. If FALSE, returns a data.frame. Default is TRUE.

Examples

# Example of finding similar topics using a BERTopic model
if (exists("topic_model")) {
  queries <- c("national minority", "minority issues", "nationality issues")
  find_topics_df(model = topic_model, queries = queries, top_n = 10)
} else {
  message("No topic_model found. Please load a BERTopic model and try again.")
}