Spacy Morphologizer

The node performs morphology analysis of the text and assigns the tags for singular/plural, gender, case, conjugation, animacy, etc. for the tokens.

The attached tags are typically of type SPACY_MORPH but models may have specialized tag sets. In such a case a dynamic tag set is created whose name follows the naming convention SPACY_MORPH_model where model is the name displayed in the Spacy Model Selector followed by the version of the model.

Different spaCy models might lack this model. If a model doesn't support this functionality a corresponding error is displayed upon configuration of the node.

Options

Select column
Select a Document column that will be affected by morphologizer.
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.

Popular Predecessors

Popular Successors

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Workflows

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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:

v5.9
Plugin provider: Redfield AB
Plugin version: 1.2.0.202512081822
On NodePit since: 2025-12-12
Last update: 2026-01-22
KNIME versions: v5.9, v5.8, v5.7, v5.6, v5.5, v5.4, v5.3, v5.1, v4.7

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