POS tagger

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.

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Workflows

• 03_Applying_Text_and_Network_Analysis_Techniques_to_ForumsKNIME Hub
• 05_DrugBank_Network_analysisKNIME Hub
• Applying_Text_and_Network_Analysis_Techniques_to_ForumsKNIME Hub
• KNIME_project_exportKNIME Forum

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