Doc2Vec Learner


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:

Input Ports

  1. Type: Data Table containing Document or String columns.

Output Ports

  1. Type: Word Vector Model Trained Doc2Vec Model.

Find here

KNIME Labs > Deep Learning > DL4J > Word Embeddings

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