parallel_analysis

This function uses parallel processing to analyze documents faster.

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 

parallel_analysis function

<dl><dt>text_data</dt>
<dd>A data frame containing text data.</dd>
<dt>analysis_function</dt>
<dd>Function to apply to each document.</dd>
<dt>text_column</dt>
<dd>Name of the column containing text to analyze.</dd>
<dt>...</dt>
<dd>Additional arguments passed to the analysis function.</dd>
<dt>n_cores</dt>
<dd>Number of cores to use for parallel processing. If NULL, uses all available cores minus 1.</dd></dl>

Arguments

Apply parallel processing for document analysis — parallel_analysis

<dl>

<dt>text_data</dt>
<dd>A data frame containing text data.</dd>


<dt>analysis_function</dt>
<dd>Function to apply to each document.</dd>


<dt>text_column</dt>
<dd>Name of the column containing text to analyze.</dd>


<dt>...</dt>
<dd>Additional arguments passed to the analysis function.</dd>


<dt>n_cores</dt>
<dd>Number of cores to use for parallel processing. If NULL, uses all available cores minus 1.</dd>

</dl>

parallel_analysis: Apply parallel processing for document analysis

Description

Usage

Value

Arguments