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.

Find here

Other Data Types > Text Processing > Transformation

Make sure to have this extension installed:

KNIME Textprocessing

Update site for KNIME Analytics Platform 3.7:
KNIME Analytics Platform 3.7 Update Site

How to install extensions