Word Vector Apply

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.

Best Friends (Incoming)

• Word Vector Learner (45 %) Deprecated
• File Reader (6 %) StreamableDeprecated
• Row Filter (4 %) Streamable
• Partitioning (4 %) 
• X-Partitioner (3 %) 
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Best Friends (Outgoing)

• Split Collection Column (32 %) 
• MDS (8 %) 
• Document Vector Adapter (5 %) Deprecated
• BayesNet (3.7) (5 %) 
• K Nearest Neighbor (3 %) StreamableDeprecated
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Installation

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

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

You don't know what to do with this link? Read our NodePit Product and Node Installation Guide that explains you in detail how to install nodes to your KNIME Analytics Platform.

Developers

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