Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Exploring difference in public perceptions on HPV vaccine between gender
  groups from Twitter using deep learning   In this study, we proposed a convolutional neural network model for gender
prediction using English Twitter text as input. Ensemble of proposed model
achieved an accuracy at 0.8237 on gender prediction and compared favorably with
the state-of-the-art performance in a recent author profiling task. We further
leveraged the trained models to predict the gender labels from an HPV vaccine
related corpus and identified gender difference in public perceptions regarding
HPV vaccine. The findings are largely consistent with previous survey-based
studies.

3
The categories of this paper are: physics
17
The categories of this paper are: q-fin
2
The categories of this paper are: math
10
The categories of this paper are: q-bio
22
The categories of this paper are: chao-dyn
27
The categories of this paper are: comp-gas
31
The categories of this paper are: ao-sci
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an
25
The categories of this paper are: patt-sol
4
The categories of this paper are: cond-mat
28
The categories of this paper are: alg-geom
8
The categories of this paper are: hep-ex
18
The categories of this paper are: econ
29
The categories of this paper are: funct-an
7
The categories of this paper are: hep-th