Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Stance detection in online discussions   This paper describes our system created to detect stance in online
discussions. The goal is to identify whether the author of a comment is in
favor of the given target or against. Our approach is based on a maximum
entropy classifier, which uses surface-level, sentiment and domain-specific
features. The system was originally developed to detect stance in English
tweets. We adapted it to process Czech news commentaries.

31
The categories of this paper are: ao-sci
12
The categories of this paper are: nucl-th
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
5
The categories of this paper are: gr-qc
20
The categories of this paper are: acc-phys
28
The categories of this paper are: alg-geom
22
The categories of this paper are: chao-dyn
6
The categories of this paper are: astro-ph
23
The categories of this paper are: solv-int
9
The categories of this paper are: nlin
36
The categories of this paper are: cmp-lg
0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga
19
The categories of this paper are: eess
2
The categories of this paper are: math