Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Towards NLP with Deep Learning: Convolutional Neural Networks and
  Recurrent Neural Networks for Offensive Language Identification in Social
  Media   This short paper presents the design decisions taken and challenges
encountered in completing SemEval Task 6, which poses the problem of
identifying and categorizing offensive language in tweets. Our proposed
solutions explore Deep Learning techniques, Linear Support Vector
classification and Random Forests to identify offensive tweets, to classify
offenses as targeted or untargeted and eventually to identify the target
subject type.

14
The categories of this paper are: math-ph
9
The categories of this paper are: nlin
11
The categories of this paper are: hep-lat
29
The categories of this paper are: funct-an
37
The categories of this paper are: supr-con
25
The categories of this paper are: patt-sol
6
The categories of this paper are: astro-ph
32
The categories of this paper are: atom-ph
10
The categories of this paper are: q-bio
24
The categories of this paper are: dg-ga
13
The categories of this paper are: quant-ph
5
The categories of this paper are: gr-qc
30
The categories of this paper are: q-alg
19
The categories of this paper are: eess
35
The categories of this paper are: mtrl-th
12
The categories of this paper are: nucl-th