create_sparse_comat: Create a sparse co-occurrence matrix

In LBDiscover: Literature-Based Discovery Tools for Biomedical Research

Create a sparse co-occurrence matrix

Description

This function creates a sparse co-occurrence matrix from entity data, which is more memory-efficient for large datasets.

Usage

create_sparse_comat(
  entity_data,
  doc_id_col = "doc_id",
  entity_col = "entity",
  count_col = NULL,
  type_col = NULL,
  normalize = TRUE
)

Arguments

entity_data	A data frame with document IDs and entities.
doc_id_col	Name of the column containing document IDs.
entity_col	Name of the column containing entity names.
count_col	Name of the column containing entity counts (optional).
type_col	Name of the column containing entity types (optional).
normalize	Logical. If TRUE, normalizes the co-occurrence matrix.

Value

A sparse matrix of entity co-occurrences.

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