detect_equity_terms: Detect equity-related terms in unstructured text data

In brandonleekramer/diverstidy: Standardize messy text data for geographic, population, and diversity-related research

Description

This function detects equity-related terms in unstructured text data. The input will be a character vector of text data such as a biomedical abstract, a Twitter bio, or a chapter from a novel. The output column will provide the number of equity-related terms detected in the entry.

Usage

detect_equity_terms(data, id, input)

Arguments

data	A data frame or data frame extension (e.g. a tibble).
id	A numeric or character vector unique to each entry.
input	Character vector of text data for equity-related terms to be detected.

Examples

library(tidyverse)
library(diverstidy)
data(pubmed_data)

detected_terms <- pubmed_data %>%
  detect_equity_terms(fk_pmid, abstract)
  

brandonleekramer/diverstidy documentation built on Dec. 19, 2021, 11:42 a.m.