0 ×

Word Vector Model Reader

DeprecatedKNIME Deeplearning4J Integration Textprocessing version 4.3.0.v202011212014 by KNIME AG, Zurich, Switzerland

Node to read word vector models of different formats:

  • KNIME - Models previously saved by the Word Vector Writer Node.
  • Text - Models in standard text format (file ending may be .txt or .csv). Each row contains the word in the first column and the vector in the following columns with the following properties:
    Column separator: single whitespace (multiple whitespace, tab and comma are not supported)
    Decimal separator: dot
  • Binary - Compressed or uncompressed binary model like the well known Google News Vectors model (file ending should be .bin.gz).
Note that for external model formats (Text or Binary) only Word2Vec models are supported. Some compatible pretrained Word2Vec models are the following:
  • Google News Vectors
    Note: Very large model, may take some time to read.
  • GloVe
    Note: These models are in text format and need to be extracted first.

Options

Selected File
The file path or URL (supports 'knime://', 'file://', 'http://' and 'https://' protocols) to the WordVector model.

Output Ports

Icon
The loaded model.

Best Friends (Incoming)

Best Friends (Outgoing)

Installation

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

KNIME 4.3

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.

Wait a sec! You want to explore and install nodes even faster? We highly recommend our NodePit for KNIME extension for your KNIME Analytics Platform. Browse NodePit from within KNIME, install nodes with just one click and share your workflows with NodePit Space.

Developers

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.