Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Helping users discover perspectives: Enhancing opinion mining with joint
  topic models   Support or opposition concerning a debated claim such as abortion should be
legal can have different underlying reasons, which we call perspectives. This
paper explores how opinion mining can be enhanced with joint topic modeling, to
identify distinct perspectives within the topic, providing an informative
overview from unstructured text. We evaluate four joint topic models (TAM, JST,
VODUM, and LAM) in a user study assessing human understandability of the
extracted perspectives. Based on the results, we conclude that joint topic
models such as TAM can discover perspectives that align with human judgments.
Moreover, our results suggest that users are not influenced by their
pre-existing stance on the topic of abortion when interpreting the output of
topic models.

10
The categories of this paper are: q-bio
24
The categories of this paper are: dg-ga
28
The categories of this paper are: alg-geom
12
The categories of this paper are: nucl-th
14
The categories of this paper are: math-ph
30
The categories of this paper are: q-alg
8
The categories of this paper are: hep-ex
2
The categories of this paper are: math
36
The categories of this paper are: cmp-lg
7
The categories of this paper are: hep-th
26
The categories of this paper are: bayes-an
29
The categories of this paper are: funct-an
37
The categories of this paper are: supr-con
15
The categories of this paper are: nucl-ex
5
The categories of this paper are: gr-qc
34
The categories of this paper are: chem-ph