This node learns a Word Vector Model based on either labelled (Doc2Vec) or unlabelled (Word2Vec) documents or Strings. This results in a Word Vector model containing Neural Word Embeddings depending on the chosen learning method. For more information on Word Vectors see: http://deeplearning4j.org/word2vec
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To use this node in KNIME, install the extension KNIME Textprocessing - Deeplearning4J Integration (64bit only) from the below update site following our NodePit Product and Node Installation Guide:
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