Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Measuring Happiness Around the World Through Artificial Intelligence   In this work, we analyze the happiness levels of countries using an unbiased
emotion detector, artificial intelligence (AI). To date, researchers proposed
many factors that may affect happiness such as wealth, health and safety. Even
though these factors all seem relevant, there is no clear consensus between
sociologists on how to interpret these, and the models to estimate the cost of
these utilities include some assumptions. Researchers in social sciences have
been working on determination of the happiness levels in society and
exploration of the factors correlated with it through polls and different
statistical methods. In our work, by using artificial intelligence, we
introduce a different and relatively unbiased approach to this problem. By
using AI, we make no assumption about what makes a person happy, and leave the
decision to AI to detect the emotions from the faces of people collected from
publicly available street footages. We analyzed the happiness levels in eight
different cities around the world through available footage on the Internet and
found out that there is no statistically significant difference between
countries in terms of happiness.

27
The categories of this paper are: comp-gas
21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
19
The categories of this paper are: eess
9
The categories of this paper are: nlin
32
The categories of this paper are: atom-ph
34
The categories of this paper are: chem-ph
24
The categories of this paper are: dg-ga
22
The categories of this paper are: chao-dyn
5
The categories of this paper are: gr-qc
14
The categories of this paper are: math-ph
33
The categories of this paper are: plasm-ph
3
The categories of this paper are: physics
4
The categories of this paper are: cond-mat
35
The categories of this paper are: mtrl-th
29
The categories of this paper are: funct-an