Document Vector Adapter (deprecated)

Manipulator

This node creates a document vector for each document representing it in the terms space, exactly as the normal document vector node. The difference is that this node takes two data tables as input:
1. Table containing the bag-of-words terms
2. Table containing the reference document vector

The terms from the first input will be converted into document vectors using the vector from the second input as the reference. Features that appear in first table, but not in the reference table will be filtered out, and features that appear in the reference table, but not in the first table will be added to the output vector and their values will be set to 0.

The values of the feature vectors can be specified as boolean values or as values of a specified column i.e. an tf*idf column. The dimension of the vectors will be the number of distinct terms in the BoW.

Input Ports

  1. Type: Data
    The input table containing the bag of words.
  2. Type: Data
    The input reference table containing the reference document vector.

Output Ports

  1. Type: Data
    An output table containing the documents with the corresponding document vectors, whose terms are identical to the ones in the reference document vector.

Extension

This node is part of the extension

KNIME Textprocessing

v4.0.0

Short Link

Drag node into KNIME Analytics Platform