Extract categories from social media content using LLMs

Wraps the Python catvader.extract() function. Discovers and returns a normalised, deduplicated set of categories from social media data.

Usage

extract(
  input_data = NULL,
  api_key = NULL,
  sm_source = NULL,
  sm_limit = 50L,
  sm_months = NULL,
  sm_credentials = NULL,
  platform = NULL,
  handle = NULL,
  hashtags = NULL,
  post_metadata = NULL,
  description = "",
  max_categories = 12L,
  categories_per_chunk = 10L,
  divisions = 12L,
  user_model = "gpt-4o",
  creativity = NULL,
  specificity = "broad",
  research_question = NULL,
  mode = "text",
  filename = NULL,
  model_source = "auto",
  iterations = 8L,
  random_state = NULL,
  focus = NULL,
  chunk_delay = 0
)

Arguments

input_data: A character vector, list, or NULL to fetch from social media. Default NULL.
api_key: Character or NULL. API key for the LLM provider.
sm_source: Character or NULL. Social media source.
sm_limit: Integer. Max posts to fetch. Default 50L.
sm_months: Integer or NULL. Fetch posts from last N months.
sm_credentials: Named list or NULL. API credentials.
platform: Character or NULL. Alias for sm_source.
handle: Character or NULL. Social media handle.
hashtags: Character vector or NULL. Hashtags to filter by.
post_metadata: Named list or NULL. Additional post metadata.
description: Character. Context description. Default "".
max_categories: Integer. Default 12L.
categories_per_chunk: Integer. Default 10L.
divisions: Integer. Default 12L.
user_model: Character. Default "gpt-4o".
creativity: Numeric or NULL. Default NULL.
specificity: Character. Default "broad".
research_question: Character or NULL.
mode: Character. Default "text".
filename: Character or NULL.
model_source: Character. Default "auto".
iterations: Integer. Default 8L.
random_state: Integer or NULL.
focus: Character or NULL.
chunk_delay: Numeric. Default 0.0.

Value

A named list with counts_df, top_categories, and raw_top_text.

Examples

if (FALSE) { # \dontrun{
result <- extract(
  input_data = df$posts,
  api_key    = Sys.getenv("OPENAI_API_KEY"),
  user_model = "gpt-4o-mini"
)
print(result$top_categories)
} # }