Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Applying Text Mining to Protest Stories as Voice against Media
  Censorship   Data driven activism attempts to collect, analyze and visualize data to
foster social change. However, during media censorship it is often impossible
to collect such data. Here we demonstrate that data from personal stories can
also help us to gain insights about protests and activism which can work as a
voice for the activists. We analyze protest story data by extracting location
network from the stories and perform emotion mining to get insight about the
protest.

2
The categories of this paper are: math
26
The categories of this paper are: bayes-an
7
The categories of this paper are: hep-th
23
The categories of this paper are: solv-int
34
The categories of this paper are: chem-ph
11
The categories of this paper are: hep-lat
10
The categories of this paper are: q-bio
0
The categories of this paper are: hep-ph
17
The categories of this paper are: q-fin
32
The categories of this paper are: atom-ph
19
The categories of this paper are: eess
29
The categories of this paper are: funct-an
27
The categories of this paper are: comp-gas
37
The categories of this paper are: supr-con
6
The categories of this paper are: astro-ph
15
The categories of this paper are: nucl-ex