Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Large-scale, Language-agnostic Discourse Classification of Tweets During
  COVID-19   Quantifying the characteristics of public attention is an essential
prerequisite for appropriate crisis management during severe events such as
pandemics. For this purpose, we propose language-agnostic tweet representations
to perform large-scale Twitter discourse classification with machine learning.
Our analysis on more than 26 million COVID-19 tweets shows that large-scale
surveillance of public discourse is feasible with computationally lightweight
classifiers by out-of-the-box utilization of these representations.

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The categories of this paper are: nucl-ex
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The categories of this paper are: econ
25
The categories of this paper are: patt-sol
30
The categories of this paper are: q-alg
4
The categories of this paper are: cond-mat
27
The categories of this paper are: comp-gas
0
The categories of this paper are: hep-ph
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The categories of this paper are: stat
11
The categories of this paper are: hep-lat
2
The categories of this paper are: math
23
The categories of this paper are: solv-int
35
The categories of this paper are: mtrl-th
26
The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
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The categories of this paper are: plasm-ph
12
The categories of this paper are: nucl-th