Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Using Text Analytics for Health to Get Meaningful Insights from a Corpus
  of COVID Scientific Papers   Since the beginning of COVID pandemic, there have been around 700000
scientific papers published on the subject. A human researcher cannot possibly
get acquainted with such a huge text corpus -- and therefore developing
AI-based tools to help navigating this corpus and deriving some useful insights
from it is highly needed. In this paper, we will use Text Analytics for Health
pre-trained service together with some cloud tools to extract some knowledge
from scientific papers, gain insights, and build a tool to help researcher
navigate the paper collection in a meaningful way.

18
The categories of this paper are: econ
11
The categories of this paper are: hep-lat
16
The categories of this paper are: stat
9
The categories of this paper are: nlin
2
The categories of this paper are: math
35
The categories of this paper are: mtrl-th
13
The categories of this paper are: quant-ph
3
The categories of this paper are: physics
34
The categories of this paper are: chem-ph
25
The categories of this paper are: patt-sol
4
The categories of this paper are: cond-mat
6
The categories of this paper are: astro-ph
31
The categories of this paper are: ao-sci
10
The categories of this paper are: q-bio
20
The categories of this paper are: acc-phys
21
The categories of this paper are: adap-org