Termite: Visualization Techniques for Assessing Textual …

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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.}

We present Termite, a visualization system for the term-topic distributions produced by topic models. Our system contributes two novel techniques to aid topic model assess-ment. First, we describe a saliency measure for ranking and ltering terms. By surfacing more discriminative terms, our measure enables faster assessment and comparison of topics.

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