|
Title:
|
SOCIAL NETWORK SENTIMENT ANALYSIS TOOLS FOR THE DETECTION OF MENTAL ILLNESS: A SYSTEMATIC MAPPING |
|
Author(s):
|
Ariel Altamirano, Daniel Avila and Graciela Guerrero |
|
ISBN:
|
978-989-8704-15-3 |
|
Editors:
|
Miguel Baptista Nunes, Pedro Isaías, Philip Powell and Boyan Bontchev |
|
Year:
|
2020 |
|
Edition:
|
Single |
|
Keywords:
|
Feelings Analysis, Social Network Analysis, Mental Illness, Social Networks, Anxiety |
|
Type:
|
Full |
|
First Page:
|
91 |
|
Last Page:
|
98 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
The growing demand of users on the Internet and their dependence on it has caused websites such as Twitter or Facebook
to become a source of personal information for each user, which is why, within the psychological context, one can take
advantage of it by analyzing the publications of each of these users; on the other hand, the importance of detecting mental
disorders in a person has grown exponentially, so that in recent years several analysis tools have been developed to detect
a person's mental state. This systematic mapping work details relevant information about the analysis tools and their
importance to society, as well as describing the methodology used in this article, its results, conclusions and proposals for
future work. |
|
|
|
|
|
|
