Semantic analysis on social networks: A survey

S Bayrakdar, I Yucedag, M Simsek… - International Journal of …, 2020 - Wiley Online Library
As social networks are getting more and more popular day by day, large numbers of users
becoming constantly active social network users. In this way, there is a huge amount of data …

Term dependency extraction using rule-based Bayesian Network for medical image retrieval

H Ayadi, M Torjmen-Khemakhem, JX Huang - Artificial Intelligence in …, 2023 - Elsevier
Abstract Text-Based Medical Image Retrieval (TBMIR) has been known to be successful in
retrieving medical images with textual descriptions. Usually, these descriptions are very brief …

Semantic Image Analysis on Social Networks and Data Processing: Review and Future Directions

MS Alzboon, MK Alqaraleh, EM Aljarrah… - Handbook of Research …, 2022 - igi-global.com
In the last decade, a significant number of people have become active social network users.
People utilize Twitter, Facebook, LinkedIn, and Google+. Facebook users generate a lot of …

Interpreting and analyzing a location-based social network by fuzzy formal contexts

J Medina, K Pakhomova… - 2017 IEEE Symposium …, 2017 - ieeexplore.ieee.org
Formal Concept Analysis (FCA) is a mathematical tool for data analysis. In this work, we
present a study on the application of FCA to databases obtained from location-base social …

Multimodal classifier for disaster response

HMN Şirin - 2022 - openaccess.hku.edu.tr
Nowadays, social media data can be used to make a huge difference in making correct
decisions in time-critical situations, such as the event of natural disasters. Social media …

SOSYAL AĞLARDA METİN VE GÖRÜNTÜ TABANLI ANLAMSAL ÇIKARIM YÖNTEMLERİNİN İNCELENMESİ

S Bayrakdar, İ Yücedağ - Eskişehir Osmangazi Üniversitesi …, 2020 - dergipark.org.tr
Sosyal ağların gün geçtikçe daha popüler hale gelmesi sebebiyle, çok sayıda kullanıcı
sürekli olarak aktif sosyal ağ kullanıcısı durumundadır. Aktif kullanıcılar sürekli olarak …