Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Survey of Neural Network Techniques for Feature Extraction from Text   This paper aims to catalyze the discussions about text feature extraction
techniques using neural network architectures. The research questions discussed
in the paper focus on the state-of-the-art neural network techniques that have
proven to be useful tools for language processing, language generation, text
classification and other computational linguistics tasks.

14
The categories of this paper are: math-ph
24
The categories of this paper are: dg-ga
0
The categories of this paper are: hep-ph
28
The categories of this paper are: alg-geom
13
The categories of this paper are: quant-ph
3
The categories of this paper are: physics
25
The categories of this paper are: patt-sol
9
The categories of this paper are: nlin
36
The categories of this paper are: cmp-lg
34
The categories of this paper are: chem-ph
8
The categories of this paper are: hep-ex
27
The categories of this paper are: comp-gas
2
The categories of this paper are: math
11
The categories of this paper are: hep-lat
4
The categories of this paper are: cond-mat
19
The categories of this paper are: eess