WebApr 15, 2009 · Abstract. We develop the relational topic model (RTM), a model of documents and the links between them. For each pair of documents, the RTM models their link as a binary random variable that is conditioned on their contents. The model can be … http://proceedings.mlr.press/v5/chang09a.html

Modeling community structure and topics in dynamic text networks

WebFigure 2: A two-document segment of the RTM. The variable y indicates whether the two documents are linked. The complete model contains this variable for each pair of … WebEfficient collapsed Gibbs sampling for the Relational Topic Model. Note that these methods can be combined to achieve multiplicative speedups. For instance, one can combine parallel computing with fast collapsed variational inference to learn a topic model in a few seconds on corpora with thousands of documents (e.g. see our UAI paper). twc navigator role

Hierarchical relational models for document networks

WebAbstract. We develop the relational topic model (RTM), a hierarchical model of both network structure and node attributes. We focus on document networks, where the attributes of … WebJan 4, 2016 · Traditional Relational Topic Models provide a way to discover the hidden topics from a document network. Many theoretical and practical tasks, such as dimensional reduction, document clustering, link prediction, benefit from this revealed knowledge. WebThe contribution is determined by comparison of the document with the “ideal” document for each topic in the dictionary. ... Relational Data Model in Document Hierarchical Indexing. In: E. Ranchhold, N. J. Mamede (Eds.) Advances in Natural Language Processing ... a network-morphology account of Russian personal nouns. 2000 • twc nearby