This node trains a Doc2Vec (Paragraph Vectors) model on labelled documents. The model will learn sequence representations (vector for each label) as well as word representations (vector for each word), that can be extracted using the Vocabulary Extractor Node. For more information on Word Vectors in general 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:
A zipped version of the software site can be downloaded here.
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