Spacy POS Tagger

This Node Is Deprecated — This version of the node has been replaced with a new and improved version. The old version is kept for backwards-compatibility, but for all new workflows we suggest to use the version linked below.
Go to Suggested ReplacementSpacy POS Tagger

The node assigns part of speech to each token of the document. Generalized Spacy POS tag set is used. Different Spacy model might have different tag sets. POS or UDPOS tag sets are used.


Select column
Select a Document column that will be affected by POS 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.


spaCy model
Pick one of the official spaCy models, or refer to a custom model stored in the filesystem. In the latter case refer to a folder with meta.json and config files.


Select one of Python execution environment options:
  • use default Python environment for the Redfield NLP nodes
  • use Conda environment

Input Ports

The input table which contains the documents to preprocess.

Output Ports

The output table which contains the preprocessed documents.


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