Spacy Morphologizer

Go to Product

The node performs morphology analysis of the text and assigns the tags for singular/plural, gender, case, conjugation, animacy, etc. for the tokens. Different spaCy models might have different tag sets. Different spaCy models might lack this model.


Select column
Select a Document column that will be affected by morphologizer.
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 Deep Learning
  • use Conda environment

Input Ports

The input table which contains the documents to preprocess.

Output Ports

The output table which contains the preprocessed documents.


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.