Word Vector Apply (legacy)

This node applies a Word Vector Model to Documents or Strings, meaning that every word contained in the text (tokenized by whitespace) 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.

The KNIME Deeplearning4J Integration has been marked as legacy with KNIME Analytics Platform 5.0 and will be deprecated in a future version. If you are using this extension in a production workflow, consider switching to one of the other deep learning integrations available in KNIME Analytics Platform.

Options

Text Column

The column containing the text where the Word Vector Model should be applied to. The text will we tokenized by whitespace. Depending on the type of the input the node will use the following as input:

String: the String will be directly used
Document: The Document Full Text will be appended to the Document Title separated by a whitespace.
E.g. a Document with Title: 'Doc A' and Full Text: 'This is a test'
will result in the following text: 'Doc A This is a test'

Calculate 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 the extension KNIME Textprocessing - Deeplearning4J Integration (64bit only) (legacy) from the below update site following our NodePit Product and Node Installation Guide:

v5.2

A zipped version of the software site can be downloaded here.

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.2.0.v202310301554

On NodePit since: 2023-12-06

Last update: 2024-04-18

Tags: Streamable

KNIME versions: Since v3.6

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