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Term Neighborhood Extractor

KNIME Textprocessing Plug-in version 4.3.0.v202011212014 by KNIME AG, Zurich, Switzerland

This node extracts the neighborhood for each term of the document. The neighborhood is defined by the N left and N right neighbors that can be set in the dialog. The neighbors can be extracted as term cells or string cells. Each neighbor is stored in a column, however it's also possible to store the right and left neighbors in a collection cell. Additionally, there is an option to extract the sentence in which the term occurs.

Options

Document column: Select the document column that is used for term neighborhood extraction.
Neighbors to extract: The number of (left/right) neighbors to extract.
Extract sentences: If checked, the second column contains the sentence of the document containing the term.
Neighbor Terms as Strings: If checked, neighbors will be extracted as String columns, otherwise as Term columns.
Neighbors as Collection: If checked, the neighbors will be all encapsulated in a collection (one collection for left neighbors, one collection for right neighbors), otherwise there will be one column for each neighbor. If no neighbor exists, the value is a missing value.

Input Ports

: The input table containing the documents.

Output Ports

: An output table containing documents, terms and their N neighbors.

Best Friends (Incoming)

Strings To Document (14 %) Streamable
String To Term (11 %)
Column Filter (6 %) Streamable
Row Filter (5 %) Streamable
Stop Word Filter (5 %) Streamable
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Best Friends (Outgoing)

Workflows

01_Keyphrase_Extraction (KNIME Hub)
01_Keyphrase_Extraction (KNIME Hub)
24_Analyzing_Twitter_Posts_with_Custom_Tagging (KNIME Hub)
POS_Tag_Sequences_Extraction (KNIME Hub)
Simple Text Autocompletion (KNIME Hub)

Installation

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

KNIME 4.3

A zipped version of the software site can be downloaded here.

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Developers

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