Probabilistic Topic Modelling with Semantic Graph

Abstract

In this paper we propose a novel framework, topic model with semantic graph (TMSG), which couples topic model with the rich knowledge from DBpedia. To begin with, we extract the disambiguated entities from the document collection using a document entity linking system, i.e., DBpedia Spotlight, from which two types of entity graphs are created from DBpedia… (More)
DOI: 10.1007/978-3-319-30671-1_18

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