IDF

Computes three variants of the inverse document frequency (idf) for each term according to the given set of documents and adds a column containing the idf value. Smooth, normalized, and probabilistic idf. The default variant is smooth idf specified as follows: idf(t) = log(1 + (f(D) / f(d, t))).
The normalized idf is defined by: idf(t) = log(f(D) / f(d,t)).
The probabilistic idf is defined by: idf(t) = log((f(D) - f(d,t)) / f(d,t)), where f(D) is the number of all documents and f(d,t) is the number of documents containing term t.

Options

Frequency options

IDF variant: Choose which variant of the inverse document frequency to compute. Default is smooth idf.

Document selection

Document Column: Specifies the document column to use for frequency counting.

Input Ports

: The input table which contains terms and documents.

Output Ports

: The output table which contains terms documents and a corresponding frequency value.

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Installation

To use this node in KNIME, install the extension KNIME Textprocessing from the below update site following our NodePit Product and Node Installation Guide:

v5.9

A zipped version of the software site can be downloaded here.

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.9.0.v202511181600

On NodePit since: 2025-12-11

Last update: 2026-01-19

KNIME versions: Since v3.6

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IDF