TF

Computes the relative term frequency (tf) of each term according to each document and adds a column containing the tf value. The value is computed by dividing the absolute frequency of a term according to a document by the number of all terms of that document.

Options

Frequency options

Relative frequency: If relative frequency is checked, the relative term frequency is computed, otherwise the absolute term frequency.

Document selection

Document Column: Specifies the document column to use for frequency counting.

Input Ports

: The input table which contains terms and documents.

Output Ports

: The output table which contains terms documents and a corresponding frequency value.

Popular Predecessors

Bag Of Words Creator26 %
~~Bag of Words Creator~~19 %
Reference Row Filter9 %
Tags To String5 %
Term To String4 %
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Popular Successors

Document Vector20 %
IDF13 %
Frequency Filter7 %
Tag Cloud7 %
GroupBy6 %
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Workflows

00_Guided_Labeling_for_Document_Classification_(legacy)KNIME Hub
00_SentimentClassificationAndVisualisationKNIME Hub
01_Document_clusteringKNIME Hub
01_Document_clusteringKNIME Hub
01_Example_Speech-to-TextKNIME Hub
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Developers

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TF