Spacy NER

The node assigns named entity tags to the words of the document.

Most models use the SPACY_NE tag set but some models might have additional tags. In such a case a dynamic tag set is created for the model whose tag type is SPACY_NE_model where model is the name of the model (as displayed in the Spacy Model Selector node) followed by its version.

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


Select column
Select a Document column that will be affected by NER tagging.
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 new appended column, containing the preprocessed documents.


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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