Termite: Visualization Techniques for Assessing …

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termite : Visualization Techniques forAssessing textual Topic ModelsJason Chuang, Christopher D. Manning, Jeffrey HeerStanford University computer Science Department{jcchuang, manning, models aid analysis of text corpora by identifying la-tent topics based on co-occurring words. Real-world de-ployments of topic models, however, often require intensiveexpert verification and model refinement. In this paper wepresent termite , a visual analysis tool for Assessing topicmodel quality. termite uses a tabular layout to promotecomparison of terms both within and across latent contribute a novel saliency measure for selecting relevantterms and a seriation algorithm that both reveals clusteringstructure and promotes the legibility of related terms. Ina series of examples, we demonstrate how termite allowsanalysts to identify coherent and significant and Subject [Artificial Intelligence]: Natural Language Process-ing; [Information Interfaces]: User InterfacesGeneral TermsAlgorithms, Design, Human FactorsKeywordsTopic Models, Text Visualization , Seriation1.}

Termite: Visualization Techniques for Assessing Textual Topic Models Jason Chuang, Christopher D. Manning, Jeffrey Heer Stanford University Computer …

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