The example of applying Redfield NLP Nodes for multi-label text classification. In the workflow shown a case with bank customers complaints written as a plain text. Each of the complaint contain 2 tags: Issue and Sub-issue. The trained model assigns multiple tags, model estimation is based on Jaccard coefficient.
The extension can be obtained here: https://nlpnodes.com/
To use this workflow in KNIME, download it from the below URL and open it in KNIME:Download Workflow
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