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Word Vector Apply

StreamableDeprecatedKNIME Deeplearning4J Integration Textprocessing version 4.2.1.v202008251908 by KNIME AG, Zurich, Switzerland

This node applies a Word Vector Model to Documents or Strings, meaning that every word contained in the text will be replaced by the corresponding Word Vector if the word is available in the Word Vector dictionary. This will result in a list of Word Vectors. If specified the node calculates the mean of these vectors resulting in a single representation of the input.

Options

Document Column: The column containing the text where the Word Vector Model should be applied to.
Calculate Document Mean Vector?: Whether to calculate the mean of the word vectors.

Input Ports

: Table containing Document or String Column.
: The Word Vector Model to use for word vector lookup.

Output Ports

: Table with list of word vectors or single mean word vector.

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Installation

To use this node in KNIME, install KNIME Textprocessing - Deeplearning4J Integration (64bit only) from the following update site:

KNIME 4.2

A zipped version of the software site can be downloaded here. Read our FAQs to get instructions about how to install nodes from a zipped update site.

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