The Topic Scorer (Labs) verified component implements an experimental score for semantic coherence, exclusivity and
similarity/distance of topics of one or multiple models.
Read more on the component pages at knime.com/verified-components. References are also available below in this workflow page.
Workflow 
Topic Scoring with Verified Components
External resources
- Verified Components project - knime.com
- Topic Scorer (Labs) - KNIME Community Hub
- Summarizing topical content with word frequency and exclusivity - Bischof and Airoldi (2012), Proceedings of the 29th International Coference on International Conference on Machine Learning
- Optimizing semantic coherence in topic models - Mimno et al 2011, Proceedings of the Conference on Empirical Methods in Natural Language Processing 2011
- “PoliBlogs08” data set by Eisenstein and Xing 2010
Used extensions & nodes
Created with KNIME Analytics Platform version 4.7.4
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KNIME AG, Zurich, Switzerland
Version 4.7.2
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KNIME AG, Zurich, Switzerland
Version 4.7.0
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KNIME AG, Zurich, Switzerland
Version 4.7.0
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KNIME AG, Zurich, Switzerland
Version 4.7.0
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KNIME AG, Zurich, Switzerland
Version 4.7.0
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KNIME AG, Zurich, Switzerland
Version 4.7.0
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KNIME AG, Zurich, Switzerland
Version 4.7.0
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KNIME AG, Zurich, Switzerland
Version 4.7.0
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KNIME AG, Zurich, Switzerland
Version 4.7.0
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KNIME AG, Zurich, Switzerland
Version 4.7.4
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KNIME AG, Zurich, Switzerland
Version 4.7.0
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KNIME AG, Zurich, Switzerland
Version 4.7.0
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