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Spacy Tokenizer

The node converts a string column with raw text to a KNIME Document column using the tokenizer of the provided spaCy model.

Options

Select column: Select a String or Document column that will be tokenized and converted to Document.
Replace column: If checked, the selected column will be replaced by the new documents. Otherwise the 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.

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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: 2024-05-11

KNIME versions: v5.1, v4.7

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