Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The Importance of Socio-Cultural Differences for Annotating and
  Detecting the Affective States of Students   The development of real-time affect detection models often depends upon
obtaining annotated data for supervised learning by employing human experts to
label the student data. One open question in annotating affective data for
affect detection is whether the labelers (i.e., human experts) need to be
socio-culturally similar to the students being labeled, as this impacts the
cost feasibility of obtaining the labels. In this study, we investigate the
following research questions: For affective state annotation, how does the
socio-cultural background of human expert labelers, compared to the subjects,
impact the degree of consensus and distribution of affective states obtained?
Secondly, how do differences in labeler background impact the performance of
affect detection models that are trained using these labels?

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The categories of this paper are: hep-ex
30
The categories of this paper are: q-alg
27
The categories of this paper are: comp-gas
28
The categories of this paper are: alg-geom
34
The categories of this paper are: chem-ph
11
The categories of this paper are: hep-lat
6
The categories of this paper are: astro-ph
2
The categories of this paper are: math
14
The categories of this paper are: math-ph
9
The categories of this paper are: nlin
21
The categories of this paper are: adap-org
29
The categories of this paper are: funct-an
4
The categories of this paper are: cond-mat
22
The categories of this paper are: chao-dyn
3
The categories of this paper are: physics
15
The categories of this paper are: nucl-ex