Dictionary tagger

This node recognizes named entities specified in a dictionary column and assigns a specified tag value and type. Optionally the recognized named entity terms can be set unmodifiable, meaning that the terms are not modified or filtered afterwards by any following node.

Options

Tagger options

Dictionary column

Specifies the dictionary column containing the terms to search for.

Set named entities unmodifiable

Sets recognized named entity terms unmodifiable.

Case sensitive

If checked, case sensitive named entity recognition will be applied, otherwise not.

Exact match

If checked, terms are tagged as as named entities only if they match exactly with an entity to find. Otherwise terms are tagged if they contain the entity string.

Tag type

Specifies the tag type of which tag values can be chosen.

Tag value

Specifies the tag value to use for tagging recognized named entities.

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

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Developers