Spacy POS Tagger

The node assigns part of speech to each token of the document.

Typically the tag type used is SPACY_POS but a model can have a specialized tag set. In such a case a dynamic tag set is created whose tag type follows the naming scheme SPACY_POS_model where model is the name of the model that assigned the tags (as displayed in the Spacy Model Selector) followed by the version of the model.

Options

Select column
Select a Document column that will be affected by POS 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 newly 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

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

Output Ports

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

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Popular Successors

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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:

v4.7

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

Plugin provider: Redfield AB
Plugin version: 1.2.0.202401280225
On NodePit since: 2023-07-22
Last update: 2024-04-27
KNIME versions: v5.1, v4.7

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