Latent Dirichlet Allocation (LDA) and Hierarchical Dirichlet Process (HDP) are both topic modeling processes. The major difference is LDA requires the specification of the number of topics, and HDP doesn't.
May 18, 2014
Comparing hierarchical dirichlet process with latent ... - IEEE Xplore
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In this paper, we propose a nonparametric approach to automatically classify bug reports with, another topic modeling method, Hierarchical Dirichlet Process ( ...
Jul 30, 2018 · In this paper, we propose a nonparametric approach to automatically classify bug reports with, another topic modeling method, Hierarchical ...
In this paper, we propose a nonparametric approach to automatically classify bug reports with, another topic modeling method, Hierarchical Dirichlet Process ( ...
这些bug报告可以分为多个类，这有助于确定这些报告实际上是关于什么的。而且，以往的研究只探讨了主题建模的一种可能性，即潜狄利克雷分配(Latent Dirichlet Allocation, ...
(2014): "Comparing hierarchical dirichlet process with latent dirichlet allocation in bug report multiclass classification". In: Proceedings of the 15th ...
Feb 17, 2022 · Comparing hierarchical dirichlet process with latent dirichlet allocation in bug report multiclass classification. In 2014 IEEE/ACIS 15th ...
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We describe latent Dirichlet allocation (LDA), a generative probabilistic model for collections of discrete data such as text corpora.
Classifying Bug Reports to Bugs and Other Requests Using Topic Modeling · Comparing hierarchical dirichlet process with latent dirichlet allocation in bug report ...
Nachai Limsettho, Hideaki Hata and Kenichi Matsumoto, Comparing hierarchical dirichlet process with latent Dirichlet allocation in bug report multiclass ...