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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

: 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.

Popular Predecessors

Popular Successors

Tagged Document Viewer100 %

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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:

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: 2024-05-04

KNIME versions: v5.1, v4.7

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