cnlp_init_spacy

This function must be run before annotating text with
the spacy backend. It sets the properties for the
spacy engine and loads the file using the R to Python
interface provided by reticulate.

Provides a set of fast tools for converting a textual corpus into
a set of normalized tables. Users may make use of the 'udpipe' back end with
no external dependencies, or a Python back ends with 'spaCy' <https://spacy.io>.
Exposed annotation tasks include tokenization, part of speech tagging, named
entity recognition, and dependency parsing.

Taylor Arnold

cleanNLP

A Tidy Data Model for Natural Language Processing

cnlp_init_spacy function

<dl><dt>model_name</dt>
<dd>string giving the model name for the spacy backend.
Defaults to "en_core_web_sm" (English) if set to NULL.</dd>
<dt>disable</dt>
<dd>an optional vector of pipes to disable.</dd>
<dt>max_length</dt>
<dd>amount of temporary memory provided to Spacy, in
characters. The default of 1000000 should work for most
applications, but can be increased when working with
long documents.</dd></dl>

Arguments

Taylor B. Arnold, <a href="/link/taylor.arnold%40acm.org?package=cleanNLP&version=3.1.0" data-mini-rdoc="cleanNLP::taylor.arnold@acm.org">taylor.arnold@acm.org</a>

Author

Interface for initializing the spacy backend — cnlp_init_spacy

<dl>

<dt>model_name</dt>
<dd>string giving the model name for the spacy backend.
Defaults to "en_core_web_sm" (English) if set to NULL.</dd>


<dt>disable</dt>
<dd>an optional vector of pipes to disable.</dd>


<dt>max_length</dt>
<dd>amount of temporary memory provided to Spacy, in
characters. The default of 1000000 should work for most
applications, but can be increased when working with
long documents.</dd>

</dl>

Taylor B. Arnold, <a href='mailto:taylor.arnold@acm.org'>taylor.arnold@acm.org</a>

cnlp_init_spacy: Interface for initializing the spacy backend

Description

Usage

Arguments

Author

Examples