Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Location, Occupation, and Semantics based Socioeconomic Status Inference
  on Twitter   The socioeconomic status of people depends on a combination of individual
characteristics and environmental variables, thus its inference from online
behavioral data is a difficult task. Attributes like user semantics in
communication, habitat, occupation, or social network are all known to be
determinant predictors of this feature. In this paper we propose three
different data collection and combination methods to first estimate and, in
turn, infer the socioeconomic status of French Twitter users from their online
semantics. Our methods are based on open census data, crawled professional
profiles, and remotely sensed, expert annotated information on living
environment. Our inference models reach similar performance of earlier results
with the advantage of relying on broadly available datasets and of providing a
generalizable framework to estimate socioeconomic status of large numbers of
Twitter users. These results may contribute to the scientific discussion on
social stratification and inequalities, and may fuel several applications.

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The categories of this paper are: funct-an
11
The categories of this paper are: hep-lat
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The categories of this paper are: q-alg
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The categories of this paper are: alg-geom
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The categories of this paper are: hep-ex
2
The categories of this paper are: math
20
The categories of this paper are: acc-phys
35
The categories of this paper are: mtrl-th
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The categories of this paper are: econ
12
The categories of this paper are: nucl-th
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The categories of this paper are: atom-ph
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The categories of this paper are: solv-int
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The categories of this paper are: cmp-lg
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The categories of this paper are: q-bio
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The categories of this paper are: chem-ph
4
The categories of this paper are: cond-mat