Russia-Ukraine war: Modeling and Clustering the Sentiments Trends of Various Countries

no code implementations • 2 Jan 2023 • Hamed Vahdat-Nejad, Mohammad Ghasem Akbari, Fatemeh Salmani, Faezeh Azizi, Hamid-Reza Nili-Sani

With Twitter's growth and popularity, a huge number of views are shared by users on various topics, making this platform a valuable information source on various political, social, and economic issues.

Clustering Time Series +1

Extracting Feelings of People Regarding COVID-19 by Social Network Mining

no code implementations • 12 Oct 2021 • Hamed Vahdat-Nejad, Fatemeh Salmani, Mahdi Hajiabadi, Faezeh Azizi, Sajedeh Abbasi, Mohadese Jamalian, Reyhane Mosafer, Hamideh Hajiabadi

In 2020, COVID-19 became the chief concern of the world and is still reflected widely in all social networks.

Extracting Major Topics of COVID-19 Related Tweets

no code implementations • 5 Oct 2021 • Faezeh Azizi, Hamed Vahdat-Nejad, Hamideh Hajiabadi, Mohammad Hossein Khosravi

With the outbreak of the Covid-19 virus, the activity of users on Twitter has significantly increased.

GSVMA: A Genetic-Support Vector Machine-Anova method for CAD diagnosis based on Z-Alizadeh Sani dataset

no code implementations • 23 Jul 2021 • Javad Hassannataj Joloudari, Faezeh Azizi, Mohammad Ali Nematollahi, Roohallah Alizadehsani, Edris Hassannataj, Amir Mosavi

One of the alternative solutions is the use of machine learning-based patterns for CAD diagnosis.

BIG-bench Machine Learning