In the last step users need to configure the Topic Extractor (LDA) node or Topic Extractor (STM) component. A node is different from a component in the sense that the component includes a series of nodes within the component. Please see the node and component descriptions for more details. The LDA node offers an additional measure for model fit (Goodness of Fit component).
The workflow is designed to provide a 2 topic solution, but this option can be changed by users so they identify what is the topic solution (K) that results in greatest model fit and interpretability
If you use this workflow, please cite: Villarroel Ordenes, Francisco, Grant Packard, Davide Proserpio, and Jochen Hartmann, “Using Text Analysis in Service Failure and Recovery: Theory, Workflows, and Models”, Journal of Service Research, Forthcoming.
To use this workflow in KNIME, download it from the below URL and open it in KNIME:
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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.