Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: ArCorona: Analyzing Arabic Tweets in the Early Days of Coronavirus
  (COVID-19) Pandemic   Over the past few months, there were huge numbers of circulating tweets and
discussions about Coronavirus (COVID-19) in the Arab region. It is important
for policy makers and many people to identify types of shared tweets to better
understand public behavior, topics of interest, requests from governments,
sources of tweets, etc. It is also crucial to prevent spreading of rumors and
misinformation about the virus or bad cures. To this end, we present the
largest manually annotated dataset of Arabic tweets related to COVID-19. We
describe annotation guidelines, analyze our dataset and build effective machine
learning and transformer based models for classification.

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The categories of this paper are: astro-ph
16
The categories of this paper are: stat
35
The categories of this paper are: mtrl-th
0
The categories of this paper are: hep-ph
7
The categories of this paper are: hep-th
23
The categories of this paper are: solv-int
37
The categories of this paper are: supr-con
31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
24
The categories of this paper are: dg-ga
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The categories of this paper are: quant-ph
3
The categories of this paper are: physics
10
The categories of this paper are: q-bio
19
The categories of this paper are: eess
4
The categories of this paper are: cond-mat
36
The categories of this paper are: cmp-lg