Term Document Entropy

This node computes the informational entropy of each term in each document. The nodes requires a bag of words table as input and appends an additional column to the output table, containing the entropy values. If a term occurs once in every document, its entropy for each document is 0. Any other combination of frequencies determines an entropy weight between 0 and 1. Please note, that the computational complexity of of the entropy calculation is greater than the number of terms times the number of documents. For big bag of words input tables the computation can be quite time consuming.

Options

Document selection

Document Column

Specifies the document column to use for frequency counting.

Views

This node has no views

Workflows

• Cocktails_graph_with_Neo4j_by_RedfieldKNIME Hub
• Regression on TextKNIME Hub
• ScrapeKNIME Hub
• ScrapeKNIME Hub

Links

• Term Document Entropyby badger101 on 2020-08-02

  forum.knime.com/p/98694

Developers