Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Social Networks Analysis to Retrieve Critical Comments on Online
  Platforms   Social networks are rich source of data to analyze user habits in all aspects
of life. User's behavior is decisive component of a health system in various
countries. Promoting good behavior can improve the public health significantly.
In this work, we develop a new model for social network analysis by using text
analysis approach. We define each user reaction to global pandemic with
analyzing his online behavior. Clustering a group of online users with similar
habits, help to find how virus spread in different societies. Promoting the
healthy life style in the high risk online users of social media have
significant effect on public health and reducing the effect of global pandemic.
In this work, we introduce a new approach to clustering habits based on user
activities on social media in the time of pandemic and recommend a machine
learning model to promote health in the online platforms.

15
The categories of this paper are: nucl-ex
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
4
The categories of this paper are: cond-mat
12
The categories of this paper are: nucl-th
10
The categories of this paper are: q-bio
16
The categories of this paper are: stat
19
The categories of this paper are: eess
34
The categories of this paper are: chem-ph
31
The categories of this paper are: ao-sci
2
The categories of this paper are: math
25
The categories of this paper are: patt-sol
13
The categories of this paper are: quant-ph
32
The categories of this paper are: atom-ph
8
The categories of this paper are: hep-ex
5
The categories of this paper are: gr-qc