Social media analysis is a fast growing research area aimed at extracting useful information from social media platforms.This paper presents a methodology, called IOM-NN (Iterative Opinion Mining using Neural Networks), for discovering the polarization of social media users during election campaigns characterized by the competition of political fac

Abstact.The article is based on the data of the sociological survey conducted in the Republic of Bashkortostan in August-October 2021.The study focused on the public perception of the influence of the ideology of extremism on the situation in the turquoise iphone 14 pro max case region and of the activities of the authorities to counter terrorism.1

During the last decades, several windstorm series hit Europe leading to large aggregated losses.Such storm series are examples of serial clustering of extreme cyclones, presenting a considerable risk for the insurance u motion bowling ball industry.Clustering of events and return periods of storm series for Germany are quantified based on potential

Jiaxing Wang,1,* Huaijuan Zhou,2,* Geyong Guo,1 Tao Cheng,1 Xiaochun Peng,1 Xin Mao,1 Jinhua Li,2–4 Xianlong etc ufmp8 Zhang1 1Department of Orthopaedics, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Jiao Tong University, 2State Key Laboratory of High Performance Ceramics and Superfine Microstructure, Shang

liftmaster 3 button station This paper develops an automated algorithm to process input data for segmented string relative rankings (SSRRs).The purpose of the SSRR methodology is to create rankings of countries, companies, or any other units based on surveys of expert opinion.This is done without the use of grading systems, which can distort the re