You are asked to read Swedish textual data from a PDF using the Tika Parser. You then notice that much of the text is duplicated, which could be an encoding issue with the PDF itself. Consequently, you decide to to deduplicate the text. In this challenge, do your best to remove excessive amounts of duplicated text using as few nodes as possible. In most cases like this, you are not aiming for perfect removal of text, but instead are aiming for a cost effective approach which eliminates a large chunk of the duplication. Hint: Our solution consists of 5 nodes, but the 5th node may be unnecessary depending on your workflow.
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.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.