KNIME Textprocessing Plug-in version 4.1.0.v201912021617 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
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.
To use this node in KNIME, install KNIME Textprocessing from the following update site:
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