There are 3040 nodes that can be used as successor
for a node with an output port of type Table.
Groups terms by their text.
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.
Computes the relative term frequency (tf) of each term according to each document and adds a column containing the tf value.
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 […]
Extracts relevant keywords from documents.
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