Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Word Embeddings to Enhance Twitter Gang Member Profile Identification   Gang affiliates have joined the masses who use social media to share thoughts
and actions publicly. Interestingly, they use this public medium to express
recent illegal actions, to intimidate others, and to share outrageous images
and statements. Agencies able to unearth these profiles may thus be able to
anticipate, stop, or hasten the investigation of gang-related crimes. This
paper investigates the use of word embeddings to help identify gang members on
Twitter. Building on our previous work, we generate word embeddings that
translate what Twitter users post in their profile descriptions, tweets,
profile images, and linked YouTube content to a real vector format amenable for
machine learning classification. Our experimental results show that pre-trained
word embeddings can boost the accuracy of supervised learning algorithms
trained over gang members social media posts.

11
The categories of this paper are: hep-lat
10
The categories of this paper are: q-bio
19
The categories of this paper are: eess
15
The categories of this paper are: nucl-ex
21
The categories of this paper are: adap-org
26
The categories of this paper are: bayes-an
3
The categories of this paper are: physics
31
The categories of this paper are: ao-sci
29
The categories of this paper are: funct-an
22
The categories of this paper are: chao-dyn
7
The categories of this paper are: hep-th
17
The categories of this paper are: q-fin
13
The categories of this paper are: quant-ph
18
The categories of this paper are: econ
4
The categories of this paper are: cond-mat
32
The categories of this paper are: atom-ph