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.

Analyzing the Impact of COVID-19 on Economy from the Perspective of Users Reviews

no code implementations • 5 Oct 2021 • Fatemeh Salmani, Hamed Vahdat-Nejad, Hamideh Hajiabadi

From the analysis of the charts, we learn that the reason for publishing economic tweets is not only the increase in the number of people infected with the Coronavirus but also imposed restrictions and lockdowns in countries.

Information Retrieval Retrieval