extract_ner

This function performs a simple dictionary-based named entity recognition.
For more advanced NER, consider using external tools via reticulate.

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 

extract_ner function

<dl><dt>text</dt>
<dd>Character vector of texts to process</dd>
<dt>entity_types</dt>
<dd>Character vector of entity types to recognize</dd>
<dt>custom_dictionaries</dt>
<dd>List of custom dictionaries (named by entity type)</dd></dl>

Arguments

Perform named entity recognition on text — extract_ner

<dl>

<dt>text</dt>
<dd>Character vector of texts to process</dd>


<dt>entity_types</dt>
<dd>Character vector of entity types to recognize</dd>


<dt>custom_dictionaries</dt>
<dd>List of custom dictionaries (named by entity type)</dd>

</dl>

extract_ner: Perform named entity recognition on text

Description

Usage

Value

Arguments