Topic Modeling with Verified Components

In this workflow you can see how these 4 components can be adopted in combination with the Topic Extractor (Parallel LDA) node.
Right click on the Topic Explorer Views to open the interactive views.

Read more on the component pages at knime.com/verified-components. References are also available below in this workflow page.

External resources

• “PoliBlogs08” data set by Eisenstein and Xing 2010
• An Introduction to the Structural Topic Model (STM)
• stm: R Package for Structural Topic Models - Roberts, Stewart and Tingley, Journal of Statistical Software (2019)
• R Installation Guide - KNIME Docs
• Miniconda Download and Installation - Conda Docs
• Optimizing semantic coherence in topic models - Mimno et al 2011, Proceedings of the Conference on Empirical Methods in Natural Language Processing 2011
• Summarizing topical content with word frequency and exclusivity - Bischof and Airoldi (2012), Proceedings of the 29th International Coference on International Conference on Machine Learning
• Verified Components project - knime.com
• !!! adapted from: Topic Modeling Space
• KNIME Data Apps Collection
• From Data Collection to Text Mining and Interpretation
• Text Mining Use Cases plus Deep-Dive into Techniques
• Text Processing on KNIME Hub
• A very helpful list of verified components by Paolo Tamagnini