Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Discovering topic structures of a temporally evolving document corpus   In this paper we describe a novel framework for the discovery of the topical
content of a data corpus, and the tracking of its complex structural changes
across the temporal dimension. In contrast to previous work our model does not
impose a prior on the rate at which documents are added to the corpus nor does
it adopt the Markovian assumption which overly restricts the type of changes
that the model can capture. Our key technical contribution is a framework based
on (i) discretization of time into epochs, (ii) epoch-wise topic discovery
using a hierarchical Dirichlet process-based model, and (iii) a temporal
similarity graph which allows for the modelling of complex topic changes:
emergence and disappearance, evolution, splitting, and merging. The power of
the proposed framework is demonstrated on two medical literature corpora
concerned with the autism spectrum disorder (ASD) and the metabolic syndrome
(MetS) -- both increasingly important research subjects with significant social
and healthcare consequences. In addition to the collected ASD and metabolic
syndrome literature corpora which we made freely available, our contribution
also includes an extensive empirical analysis of the proposed framework. We
describe a detailed and careful examination of the effects that our
algorithms's free parameters have on its output, and discuss the significance
of the findings both in the context of the practical application of our
algorithm as well as in the context of the existing body of work on temporal
topic analysis. Our quantitative analysis is followed by several qualitative
case studies highly relevant to the current research on ASD and MetS, on which
our algorithm is shown to capture well the actual developments in these fields.

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The categories of this paper are: comp-gas
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The categories of this paper are: solv-int
31
The categories of this paper are: ao-sci
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The categories of this paper are: econ
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The categories of this paper are: hep-ph
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The categories of this paper are: stat
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The categories of this paper are: math-ph
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The categories of this paper are: plasm-ph
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The categories of this paper are: chem-ph
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The categories of this paper are: hep-lat
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The categories of this paper are: gr-qc
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The categories of this paper are: bayes-an
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The categories of this paper are: atom-ph
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The categories of this paper are: eess
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The categories of this paper are: math
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The categories of this paper are: funct-an