Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The Geography of Happiness: Connecting Twitter sentiment and expression,
  demographics, and objective characteristics of place   We conduct a detailed investigation of correlations between real-time
expressions of individuals made across the United States and a wide range of
emotional, geographic, demographic, and health characteristics. We do so by
combining (1) a massive, geo-tagged data set comprising over 80 million words
generated over the course of several recent years on the social network service
Twitter and (2) annually-surveyed characteristics of all 50 states and close to
400 urban populations. Among many results, we generate taxonomies of states and
cities based on their similarities in word use; estimate the happiness levels
of states and cities; correlate highly-resolved demographic characteristics
with happiness levels; and connect word choice and message length with urban
characteristics such as education levels and obesity rates. Our results show
how social media may potentially be used to estimate real-time levels and
changes in population-level measures such as obesity rates.

17
The categories of this paper are: q-fin
37
The categories of this paper are: supr-con
19
The categories of this paper are: eess
13
The categories of this paper are: quant-ph
27
The categories of this paper are: comp-gas
15
The categories of this paper are: nucl-ex
22
The categories of this paper are: chao-dyn
8
The categories of this paper are: hep-ex
28
The categories of this paper are: alg-geom
23
The categories of this paper are: solv-int
9
The categories of this paper are: nlin
21
The categories of this paper are: adap-org
18
The categories of this paper are: econ
34
The categories of this paper are: chem-ph
35
The categories of this paper are: mtrl-th
7
The categories of this paper are: hep-th