Spacy Tokenizer

The node converts a string column with raw text to a Knime Document format, using its own tokenizer based on the selected spaCy model.

Options

Select column

Select a String column that will be tokenized and converted to Document.

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.

Model

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.

Python

Python

Select one of Python execution environment options:

• use default Python environment for the Redfield NLP nodes
• use Conda environment

Views

This node has no views

Workflows

• Customer Opinion Analysis with Redfield BERT and Spacy nodesKNIME Hub
• Customer Opinion Analysis with Redfield BERT and Spacy nodesKNIME Hub
• Spacy_simple_exampleNodePit Space

Links

• No links available

Developers