Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: CO.ME.T.A. -- covid-19 media textual analysis. A dashboard for media
  monitoring   The focus of this paper is to trace how mass media, particularly newspapers,
have addressed the issues about the containment of contagion or the explanation
of epidemiological evolution. We propose an interactive dashboard: CO.ME.T.A..
During crises it is important to shape the best communication strategies in
order to respond to critical situations. In this regard, it is important to
monitor the information that mass media and social platforms convey. The
dashboard allows to explore the mining of contents extracted and study the
lexical structure that links the main discussion topics. The dashboard merges
together four methods: text mining, sentiment analysis, textual network
analysis and latent topic models. Results obtained on a subset of documents
show not only a health-related semantic dimension, but it also extends to
social-economic dimensions.

36
The categories of this paper are: cmp-lg
31
The categories of this paper are: ao-sci
27
The categories of this paper are: comp-gas
17
The categories of this paper are: q-fin
2
The categories of this paper are: math
18
The categories of this paper are: econ
8
The categories of this paper are: hep-ex
15
The categories of this paper are: nucl-ex
7
The categories of this paper are: hep-th
5
The categories of this paper are: gr-qc
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
21
The categories of this paper are: adap-org
9
The categories of this paper are: nlin
28
The categories of this paper are: alg-geom
37
The categories of this paper are: supr-con