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**KNIME Textprocessing Plug-in** version **4.2.1.v202008251908** by **KNIME AG, Zurich, Switzerland**

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.

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

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

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To use this node in KNIME, install KNIME Textprocessing from the following update site:

KNIME 4.2

A zipped version of the software site can be downloaded here. Read our FAQs to get instructions about how to install nodes from a zipped update site.

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