We use the KNIME Simple Streaming nodes to do the first part of the text processing. See the first wrapped metanode. To enable streaming (for streaming enabled nodes) right-click 'configure' then switch to the 'Job Manager Selection' tab, and select 'Simple Streaming'. In this case the first wrapped metanode is already configured for streaming, and the second is not (the second contains no streamable nodes).
The workflow reads textual data from a csv file and converts the strings into documents. The documents are then preprocessed, i.e. filtered and stemmed and transformed into numerical document vectors. All the preprocessing magic takes place in the Preprocessing meta node. After the document vectors have been created the sentiment class is extracted and a predictive model is built and scored.
To use this workflow in KNIME, download it from the below URL and open it in KNIME:Download Workflow
Deploy, 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 firstname.lastname@example.org, 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.