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Topic Scoring with Verified Components

StmStructural topic modelingTopicLdaSemantic coherence
+5
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May 2, 2023 3:45 PM
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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.

External resources

  • “PoliBlogs08” data set by Eisenstein and Xing 2010
  • 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
  • Topic Scorer (Labs) - KNIME Community Hub
  • Verified Components project - knime.com
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Used extensions & nodes

Created with KNIME Analytics Platform version 4.7.4
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