The following node is available in the Open Source KNIME predictive analytics and data mining platform version 2.7.1. Discover over 1000 other nodes, as well as enterprise functionality at http://knime.com.

Porter Stemmer

This node allows you to stem terms by the Porter stemmer algorithm, thereby terms will be reduced to their stem. The stemmed terms are stored in the outgoing DataTable, as well as the documents containing these terms.

Dialog Options

Deep preprocessing options
Deep preprocessing
If deep preprocessing is checked, the terms contained inside the documents are preprocessed too, this means that the documents themselves are changed too, which is more time consuming.
Document column
Specifies the column containing the documents to preprocess.
Append unchanged documents
If checked, the documents contained in the specified "Original Document column" are appended unchanged even if deep preprocessing is checked. This helps to keep the original documents in the output data table without the agonizing pain of joining.
Original Document column
Specifies the column containing the original documents which can be attached unchanged.
Ignore unmodifiable tag
If checked unmodifiable terms will be preprocessed too.

Ports

Input Ports
0 The input table which contains the terms to stem.
Output Ports
0 The output table which contains the stemmed terms.
This node is contained in KNIME Textprocessing Plug-in provided by KNIME GmbH, Konstanz, Germany.