Contains nodes that compute several kinds of frequencies
This category contains 8 nodes.
This node computes the number of documents that contain the terms of the input bag of words table.
Filters terms with a certain frequency value.
Computes the inverse category frequency (icf) of each term according to the given set of documents, categories of documents respectively, and adds a […]
Computes the inverse document frequency (idf) of each term according to the given set of documents and adds a column containing the idf value.
Creates ngrams of documents.
Counts the number of co-occurrences for the given list of terms within the different parts e.g. sentence, paragraph, section and title of […]
This node computes the informational entropy of each term in each document. If a term occurs once in every document, its entropy for each document […]
Computes the relative term frequency (tf) of each term according to each document and adds a column containing the tf value.
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