Abner Filter

Filters all terms contained in the given bag of words (input table) with biomedical named entities (BNER) tags assigned, not specified in the dialog. The terms are filtered out of the bag of words and the documents as well if deep preprocessing is checked.
To detect biomedical named entities, the ABNER (A Biomedical Named Entity Recognizer) Software is used (see http://pages.cs.wisc.edu/~bsettles/abner/ for details).
A term is kept if at least one of its assigned BNER tags is a valid tag. If strict filtering is set, all assigned BNER tags of a term have to be valid.

Options

Preprocessing options

Strict filtering

If strict filtering is checked, terms need to have all specified tags applied. If not checked, at least one tag has to be applied.

Filter matching

If checked, terms which have the specified tags are filtered, otherwise they are kept. If strict filtering is checked, all tags must match to filter or keep a term.

Tags

The tags to filter for.

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.

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• 05_DrugBank_Network_analysisKNIME Hub
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