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تسجيل مستخدم جديدHierarchical Latent Word Clustering
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Halid Ziya Yerebakan
تاريخ النشر
2016
مجال البحث
الهندسة المعلوماتية
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English
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This paper presents a new Bayesian non-parametric model by extending the usage of Hierarchical Dirichlet Allocation to extract tree structured word clusters from text data. The inference algorithm of the model collects words in a cluster if they share similar distribution over documents. In our experiments, we observed meaningful hierarchical structures on NIPS corpus and radiology reports collected from public repositories.
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