Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Online learning for Social Spammer Detection on Twitter   Social networking services like Twitter have been playing an import role in
people's daily life since it supports new ways of communicating effectively and
sharing information. The advantages of these social network services enable
them rapidly growing. However, the rise of social network services is leading
to the increase of unwanted, disruptive information from spammers, malware
discriminators, and other content polluters. Negative effects of social
spammers do not only annoy users, but also lead to financial loss and privacy
issues. There are two main challenges of spammer detection on Twitter. Firstly,
the data of social network scale with a huge volume of streaming social data.
Secondly, spammers continually change their spamming strategy such as changing
content patterns or trying to gain social influence, disguise themselves as far
as possible. With those challenges, it is hard to directly apply traditional
batch learning methods to quickly adapt newly spamming pattern in the
high-volume and real-time social media data. We need an anti-spammer system to
be able to adjust the learning model when getting a label feedback. Moreover,
the data on social media may be unbounded. Then, the system must allow update
efficiency model in both computation and memory requirements. Online learning
is an ideal solution for this problem. These methods incrementally adapt the
learning model with every single feedback and adjust to the changing patterns
of spammers overtime. Our experiments demonstrate that an anti-spam system
based on online learning approach is efficient in fast changing of spammers
comparing with batch learning methods. We also attempt to find the optimal
online learning method and study the effectiveness of various feature sets on
these online learning methods.

20
The categories of this paper are: acc-phys
15
The categories of this paper are: nucl-ex
24
The categories of this paper are: dg-ga
36
The categories of this paper are: cmp-lg
32
The categories of this paper are: atom-ph
4
The categories of this paper are: cond-mat
11
The categories of this paper are: hep-lat
19
The categories of this paper are: eess
17
The categories of this paper are: q-fin
6
The categories of this paper are: astro-ph
2
The categories of this paper are: math
10
The categories of this paper are: q-bio
27
The categories of this paper are: comp-gas
3
The categories of this paper are: physics
14
The categories of this paper are: math-ph
30
The categories of this paper are: q-alg