KNIME Textprocessing Plug-in version 4.0.0.v201906171531 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 Plug-in from the following update site:
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