extract_entities: Extract and classify entities from text with multi-domain...

In LBDiscover: Literature-Based Discovery Tools for Biomedical Research

Extract and classify entities from text with multi-domain types

Description

This function extracts entities from text and optionally assigns them to specific semantic categories based on dictionaries.

Usage

extract_entities(
  text_data,
  text_column = "abstract",
  dictionary = NULL,
  case_sensitive = FALSE,
  overlap_strategy = c("priority", "all", "longest"),
  sanitize_dict = TRUE
)

Arguments

text_data	A data frame containing article text data.
text_column	Name of the column containing text to process.
dictionary	Combined dictionary or list of dictionaries for entity extraction.
case_sensitive	Logical. If TRUE, matching is case-sensitive.
overlap_strategy	How to handle terms that match multiple dictionaries: "priority", "all", or "longest".
sanitize_dict	Logical. If TRUE, sanitizes the dictionary before extraction.

Value

A data frame with extracted entities, their types, and positions.

LBDiscover documentation built on June 16, 2025, 5:09 p.m.