Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Voice for the Voiceless: Active Sampling to Detect Comments Supporting
  the Rohingyas   The Rohingya refugee crisis is one of the biggest humanitarian crises of
modern times with more than 600,000 Rohingyas rendered homeless according to
the United Nations High Commissioner for Refugees. While it has received
sustained press attention globally, no comprehensive research has been
performed on social media pertaining to this large evolving crisis. In this
work, we construct a substantial corpus of YouTube video comments (263,482
comments from 113,250 users in 5,153 relevant videos) with an aim to analyze
the possible role of AI in helping a marginalized community. Using a novel
combination of multiple Active Learning strategies and a novel active sampling
strategy based on nearest-neighbors in the comment-embedding space, we
construct a classifier that can detect comments defending the Rohingyas among
larger numbers of disparaging and neutral ones. We advocate that beyond the
burgeoning field of hate-speech detection, automatic detection of
\emph{help-speech} can lend voice to the voiceless people and make the internet
safer for marginalized communities.

13
The categories of this paper are: quant-ph
21
The categories of this paper are: adap-org
35
The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
15
The categories of this paper are: nucl-ex
30
The categories of this paper are: q-alg
12
The categories of this paper are: nucl-th
5
The categories of this paper are: gr-qc
4
The categories of this paper are: cond-mat
36
The categories of this paper are: cmp-lg
18
The categories of this paper are: econ
25
The categories of this paper are: patt-sol
27
The categories of this paper are: comp-gas
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The categories of this paper are: solv-int
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The categories of this paper are: alg-geom
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The categories of this paper are: hep-th