There are 2898 nodes that can be used as successor for a node with an output port of type Table.
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.
Extracts relevant keywords from documents.
Extracts relation triplets from documents.
Extracts relation triplets from documents.
Simple parallel threaded implementation of LDA for topic detection.
Adds a class (string) column to each row, containing the category string of the document in that particular row.
Shows a detailed view of the input documents and all their data, such as title, text, authors, meta information etc.
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