Spacy NER

The node assigns named entity tags to the words of the document.

Most models use the SPACY_NE tag set but some models might have additional tags. In such a case a dynamic tag set is created for the model whose tag type is SPACY_NE_model where model is the name of the model (as displayed in the Spacy Model Selector node) followed by its version.

Not all models provide this functionality. If a model doesn't provide it, a corresponding error is displayed upon configuration of the node.

Options

Select column: Select a Document column that will be affected by NER tagging.
Replace column: If checked, the document column will be replaced by the new preprocessed documents. Otherwise the preprocessed documents will be appended as a new column.
Append column: The name of the new appended column, containing the preprocessed documents.

Python

Python

Select one of Python execution environment options:

use default Python environment for the Redfield NLP nodes
use Conda environment specified by a Conda flow variable (only selectable if such a flow variable is available)

Input Ports

: The Spacy model
: The input table which contains the documents to preprocess.

Output Ports

: The Spacy model
: The output table which contains the preprocessed documents.

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Installation

To use this node in KNIME, install the extension Redfield NLP Nodes from the below update site following our NodePit Product and Node Installation Guide:

v5.3

A zipped version of the software site can be downloaded here.

Plugin provider: Redfield AB

Plugin version: 1.2.0.202409270307

On NodePit since: 2024-07-11

Last update: 2024-11-15

KNIME versions: v5.3, v5.1, v4.7

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