Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Text Classification Framework for Simple and Effective Early
  Depression Detection Over Social Media Streams   With the rise of the Internet, there is a growing need to build intelligent
systems that are capable of efficiently dealing with early risk detection (ERD)
problems on social media, such as early depression detection, early rumor
detection or identification of sexual predators. These systems, nowadays mostly
based on machine learning techniques, must be able to deal with data streams
since users provide their data over time. In addition, these systems must be
able to decide when the processed data is sufficient to actually classify
users. Moreover, since ERD tasks involve risky decisions by which people's
lives could be affected, such systems must also be able to justify their
decisions. However, most standard and state-of-the-art supervised machine
learning models (such as SVM, MNB, Neural Networks, etc.) are not well suited
to deal with this scenario. This is due to the fact that they either act as
black boxes or do not support incremental classification/learning. In this
paper we introduce SS3, a novel supervised learning model for text
classification that naturally supports these aspects. SS3 was designed to be
used as a general framework to deal with ERD problems. We evaluated our model
on the CLEF's eRisk2017 pilot task on early depression detection. Most of the
30 contributions submitted to this competition used state-of-the-art methods.
Experimental results show that our classifier was able to outperform these
models and standard classifiers, despite being less computationally expensive
and having the ability to explain its rationale.

5
The categories of this paper are: gr-qc
15
The categories of this paper are: nucl-ex
35
The categories of this paper are: mtrl-th
37
The categories of this paper are: supr-con
11
The categories of this paper are: hep-lat
24
The categories of this paper are: dg-ga
20
The categories of this paper are: acc-phys
28
The categories of this paper are: alg-geom
33
The categories of this paper are: plasm-ph
19
The categories of this paper are: eess
29
The categories of this paper are: funct-an
12
The categories of this paper are: nucl-th
32
The categories of this paper are: atom-ph
14
The categories of this paper are: math-ph
7
The categories of this paper are: hep-th
21
The categories of this paper are: adap-org