0 ×

Term Co-Occurrence Counter

KNIME Textprocessing Plug-in version 4.0.0.v201908091514 by KNIME AG, Zurich, Switzerland

The node counts the number of co-occurrences for the given list of terms within the selected parts e.g. sentence, paragraph, section and title of the corresponding document. The order two terms occur is not considered. Thus the occurrence of T1 followed by T2 is equal to the occurrence of T2 followed by T1. The output table returns the term pairs in alphabetical order.

Options

Document column
The column that contains the document to search for the term co-occurrences.
Term column
The column that contains the terms to compute the co-occurrence for.
Co-occurrence level
Select the co-occurrence level to be calculated. They are ordered from more general (document co-occurrence) to more specific (neighbors). The more general levels include the more specific levels e.g. the sentence level includes the neighbor and title co-occurrence calculation. Notice: The calculation of the more general statistic especially the document level statistics might result in a very large data table.
Check term tags
The tags e.g. POS tags of a term are considered when matching terms if this option is selected. If this option is not selected only their textual representation is checked when matching terms.
Skip meta information sections
Select this option to ignore meta information sections.
Sort input table
Unselect this option if the input table is already sorted by the document column.
Maximum number of parallel proceses
Decrease the number of parallel processes in case of memory problems.

Input Ports

Input table with a document and term column

Output Ports

Table with the co-occurrence statistics for the input table

Best Friends (Incoming)

Best Friends (Outgoing)

Workflows

Installation

To use this node in KNIME, install KNIME Textprocessing Plug-in from the following update site:

KNIME 4.0
Wait a sec! You want to explore and install nodes even faster? We highly recommend our NodePit for KNIME extension for your KNIME Analytics Platform.