Spacy Lemmatizer

The node converts all tokens to their root form (lemma), removing cases, plurals, conjugations, etc. Not all spaCy models contain lemmatizer.

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

Options

Select column: Select a Document column that will be affected by lemmatization.
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

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)

This node has no views

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.

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:

v5.4

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

Plugin provider: Redfield AB

Plugin version: 1.2.0.202411260951

On NodePit since: 2024-12-06

Last update: 2024-12-17

KNIME versions: v5.4, v5.3, v5.1, v4.7

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.