publication . Doctoral thesis . Preprint . 2014

Topic Modeling of Hierarchical Corpora /

Kim, Do-kyum; Voelker, Geoffrey M.; Saul, Lawrence K.;
Open Access
  • Published: 11 Sep 2014
  • Publisher: eScholarship, University of California
  • Country: United States
Abstract
The sizes of modern digital libraries have grown beyond our capacity to comprehend manually. Thus we need new tools to help us in organizing and browsing large corpora of text that do not require manually examining each document. To this end, machine learning researchers have developed topic models, statistical learning algorithms for automatic comprehension of large collections of text. Topic models provide both global and local views of a corpus; they discover topics that run through the corpus and describe each document as a mixture of the discovered topics. In this dissertation, I consider the topic modeling of corpora whose documents are organized in a mult...
Subjects
free text keywords: Dissertations, Academic Computer science. (Discipline) UCSD, Statistics - Machine Learning, Computer Science - Information Retrieval, Computer Science - Learning

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publication . Doctoral thesis . Preprint . 2014

Topic Modeling of Hierarchical Corpora /

Kim, Do-kyum; Voelker, Geoffrey M.; Saul, Lawrence K.;