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

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

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

Output Ports

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

Views

This node has no views

Workflows

Links

Developers

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.