Extract entities from text
llm_extract
Description
Use a Large Language Model (LLM) to extract specific entity, or entities, from the provided text
Usage
llm_extract(
.data,
col,
labels,
expand_cols = FALSE,
additional_prompt = "",
pred_name = ".extract"
)
llm_vec_extract(x, labels = c(), additional_prompt = "", preview = FALSE) Arguments
| Arguments | Description |
|---|---|
| .data | A data.frame or tbl object that contains the text to be analyzed |
| col | The name of the field to analyze, supports tidy-eval |
| labels | A vector with the entities to extract from the text |
| expand_cols | If multiple labels are passed, this is a flag that tells the function to create a new column per item in labels. If labels is a named vector, this function will use those names as the new column names, if not, the function will use a sanitized version of the content as the name. |
| additional_prompt | Inserts this text into the prompt sent to the LLM |
| pred_name | A character vector with the name of the new column where the prediction will be placed |
| x | A vector that contains the text to be analyzed |
| preview | It returns the R call that would have been used to run the prediction. It only returns the first record in x. Defaults to FALSE Applies to vector function only. |
Value
llm_extract returns a data.frame or tbl object. llm_vec_extract returns a vector that is the same length as x.