Explore raw categories in social media data

Wraps the Python catvader.explore() function. Returns every category string extracted from every chunk across every iteration – with duplicates intact.

Usage

explore(
  input_data = NULL,
  api_key = NULL,
  description = "",
  sm_source = NULL,
  sm_limit = 50L,
  sm_months = NULL,
  sm_credentials = NULL,
  platform = NULL,
  handle = NULL,
  hashtags = NULL,
  post_metadata = NULL,
  max_categories = 12L,
  categories_per_chunk = 10L,
  divisions = 12L,
  user_model = "gpt-4o",
  creativity = NULL,
  specificity = "broad",
  research_question = NULL,
  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.

description

Character. Context description. Default "".

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.

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.

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 character vector of every category string extracted.

Examples

if (FALSE) { # \dontrun{
raw_cats <- explore(
  input_data = df$posts,
  api_key    = Sys.getenv("OPENAI_API_KEY"),
  user_model = "gpt-4o-mini",
  iterations = 4L
)
table(raw_cats)
} # }