Document Vector Hashing Applier

Predictor

This node creates a document vector for each document representing it in the terms space. The values of the feature vectors will be boolean values or as values of either the relative frequency or the absolute frequency of the terms. This node needs a model input provided by the Document vector hashing node which contains the specifications for vector creation.

Input Ports

  1. Type: VectorHashingPortObject
    The model containing the settings to create the document vector space.
  2. Type: Data
    The input table containing the documents.

Output Ports

  1. Type: Data
    An output table containing the input documents with the corresponding document vectors.

Extension

This node is part of the extension

KNIME Textprocessing

v4.0.0

Short Link

Drag node into KNIME Analytics Platform