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Título
A feature based approach on behavior analysis of the users on twitter: A case study of AusOpen tennis championship
Autor(es)
Materia
Social media analytics
Behavior analysis
User behavior mining
Feature extraction
Twitter
Verified
Influencers
Regular and fakes
Fecha de publicación
2022
Editor
SpringerLink
Citación
Shoeibi, N., et al. (2022). A Feature Based Approach on Behavior Analysis of the Users on Twitter: A Case Study of AusOpen Tennis Championship. Advances in Intelligent Systems and Computing, vol 1237. Springer, Cham.
Serie / N.º
AISC;1237
Resumen
[EN] Due to the advancement of technology, and the promotion of smart-
phones, using social media got more and more popular. Nowadays, it has become
an undeniable part of people’s lives. So, they will create a flow of information by
the content they share every single moment. Analyzing this information helps us
to have a better understanding of users, their needs, their tendencies and classify
them into different groups based on their behavior. These behaviors are various and
due to some extracted features, it is possible to categorize the users into different
categories. In this paper, we are going to focus on Twitter users and the AusOpen
Tennis championship event as a case study. We define the attributions describing
each class and then extract data and identify features that are more correlated to
each type of user and then label user type based on the reasoning model. The
results contain 4 groups of users; Verified accounts, Influencers, Regular profiles,
and Fake profiles.
URI
ISBN
978-3-030-53035-8
DOI
10.1007/978-3-030-53036-5_31
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