Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Survey of Text-based Epidemic Intelligence: A Computational Linguistic
  Perspective   Epidemic intelligence deals with the detection of disease outbreaks using
formal (such as hospital records) and informal sources (such as user-generated
text on the web) of information. In this survey, we discuss approaches for
epidemic intelligence that use textual datasets, referring to it as `text-based
epidemic intelligence'. We view past work in terms of two broad categories:
health mention classification (selecting relevant text from a large volume) and
health event detection (predicting epidemic events from a collection of
relevant text). The focus of our discussion is the underlying computational
linguistic techniques in the two categories. The survey also provides details
of the state-of-the-art in annotation techniques, resources and evaluation
strategies for epidemic intelligence.

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The categories of this paper are: comp-gas
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The categories of this paper are: eess
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The categories of this paper are: stat
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The categories of this paper are: math
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The categories of this paper are: atom-ph
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The categories of this paper are: supr-con
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The categories of this paper are: physics
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The categories of this paper are: nucl-ex
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The categories of this paper are: hep-th
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The categories of this paper are: patt-sol
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The categories of this paper are: hep-lat
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The categories of this paper are: chao-dyn
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The categories of this paper are: plasm-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: chem-ph
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The categories of this paper are: mtrl-th