Spacy Vectorizer

Maps String or Document data to a numerical vector (list of doubles) according to the embedder provided by the spaCy model. This can be useful for applying more general machine learning algorithm or to visualize the data.

Options

Select column

Select a String or Document column that will be converted to vector.

Replace column

If checked, the selected column will be replaced by the vector column. Otherwise the vector will be appended as a new column.

Append column

The name of the newly appended column, containing the vector.

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)

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Workflows

• Analyzing Breaking Bad subtitles with Redfield NLP nodesKNIME Hub
• Analyzing Breaking Bad subtitles with Redfield NLP nodesKNIME Hub
• Content_Based_Movie_Recommenders_System_Spacy_EmbeddingsKNIME Hub
• Exercise2KNIME Hub
• Exercise3KNIME Hub
• Show all 19 workflows

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Developers