The workflow starts reads ten famous fairy tales of the Brothers Grimm and two dictionaries containing the names or part of the names.
Branch 1:
The words of the first dictionary are searched by the Dictionary Tagger node in the documents. Found terms in the documents are tagged with PERSON tags. Document terms and dictionary words are compared case insensitive by exact match. Then the tagged terms are filtered and a bag of words is created.
Branch 2:
The words of the second dictionary are search in the documents by the Dictionary tagger. Found terms in the documents are tagged with PERSON tags. Document terms and dictionary words are compared case insensitive by non-exact match, meaning that a document term is tagged if it containes a word of the dictionary. Then the tagged terms are filtered and a bag of words is created.
To use this workflow in KNIME, download it from the below URL and open it in KNIME:
Download WorkflowDeploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.
Try NodePit Runner!Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com, follow @NodePit on Twitter or botsin.space/@nodepit on Mastodon.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.