create_term_document_matrix

This function creates a term-document matrix from preprocessed text data.
It's a simplified version of create_tdm() for direct use in models.

A suite of tools for literature-based discovery in biomedical research.
Provides functions for retrieving scientific articles from 'PubMed' and
other NCBI databases, extracting biomedical entities (diseases, drugs, genes, etc.),
building co-occurrence networks, and applying various discovery models
including 'ABC', 'AnC', 'LSI', and 'BITOLA'. The package also includes
visualization tools for exploring discovered connections.

Chao Liu Liu

LBDiscover

Literature-Based Discovery Tools for Biomedical Research

Chao Liu 

create_term_document_matrix function

<dl><dt>preprocessed_data</dt>
<dd>A data frame with preprocessed text data.</dd>
<dt>min_df</dt>
<dd>Minimum document frequency for a term to be included.</dd>
<dt>max_df</dt>
<dd>Maximum document frequency (as a proportion) for a term to be included.</dd></dl>

Arguments

Create a term-document matrix from preprocessed text — create_term_document_matrix

<dl>

<dt>preprocessed_data</dt>
<dd>A data frame with preprocessed text data.</dd>


<dt>min_df</dt>
<dd>Minimum document frequency for a term to be included.</dd>


<dt>max_df</dt>
<dd>Maximum document frequency (as a proportion) for a term to be included.</dd>

</dl>

create_term_document_matrix: Create a term-document matrix from preprocessed text

Description

Usage

Value

Arguments