POS tagger

This Node Is Deprecated — This node is kept for backwards-compatibility, but the usage in new workflows is no longer recommended. The documentation below might contain more information.

This node assigns to each term of a document a part of speech (POS) tag. Therefore the Penn Treebank tag set is used, for details see (http://www.cis.upenn.edu/~treebank). The underlying tagger model deciding what tag to assign to which term is a model of the opennlp framework version 1.5.2 (see for http://opennlp.apache.org/documentation.html details).

Options

General options

Number of maximal parallel tagging processes
Defines the maximal number of parallel threads that are used for tagging. Please note, that for each thread a tagging model will be loaded into memory. If this value is set to a number greater than 1, make sure that enough heap space is available, in order to be able to load the models. If you are not sure how much heap is available for KNIME, leave the number to 1.
Word tokenizer
Select the tokenizer used for word tokenization. Go to Preferences -> KNIME -> Textprocessing to read the description for each tokenizer.

Input Ports

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The input table containing the documents to tag.

Output Ports

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An output table containing the tagged documents.

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Workflows

Further Links

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