Word Vector Apply

Manipulator

This node applies a Word Vector Model to Documents or Strings, meaning that every word contained in the text (tokenized by whitespace) 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.

Input Ports

  1. Type: Data
    Table containing Document or String Column.
  2. Type: Word Vector Model
    The Word Vector Model to use for word vector lookup.

Output Ports

  1. Type: Data
    Table with list of word vectors or single mean word vector.

  1. Simple Document Classification using Word Vectors

    deeplearning machine learning word2vec doc2vec word vectors embeddings classification
    This example shows how to transform a document into a vector using a word vector model and using these vectors for class…
    Users > shima0011 > 04_Analytics > 14_Deep_Learning > 01_DL4J

  2. Simple Document Classification using Word Vectors

    deeplearning machine learning word2vec doc2vec word vectors embeddings classification
    This example shows how to transform a document into a vector using a word vector model and using these vectors for class…
    Users > knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J

Extension

This node is part of the extension

KNIME Textprocessing - Deeplearning4J Integration (64bit only)

 v4.0.0

Short Link

Drag node into KNIME Analytics Platform