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Since the first alert launched by the World Health Organization (5 January, 2020), COVID-19 has been spreading out to over 180 countries and territories. As of June 18, 2020, in total, there are now over 8,400,000 cases and over 450,000…

Understanding the public sentiment and perception in a healthcare crisis is essential for developing appropriate crisis management techniques. While some studies have used Twitter data for predictive modelling during COVID-19, fine-grained…

Computation and Language · Computer Science 2021-03-02 Abdul Hameed Azeemi , Adeel Waheed

The free flow of information has been accelerated by the rapid development of social media technology. There has been a significant social and psychological impact on the population due to the outbreak of Coronavirus disease (COVID-19). The…

This paper describes a large global dataset on people's discourse and responses to the COVID-19 pandemic over the Twitter platform. From 28 January 2020 to 1 June 2022, we collected and processed over 252 million Twitter posts from more…

Computation and Language · Computer Science 2022-06-28 Raj Kumar Gupta , Ajay Vishwanath , Yinping Yang

Monitoring public sentiment via social media is potentially helpful during health crises such as the COVID-19 pandemic. However, traditional frequency-based, data-driven neural network-based approaches can miss newly relevant content due to…

Artificial Intelligence · Computer Science 2024-11-12 Vedant Khandelwal , Manas Gaur , Ugur Kursuncu , Valerie Shalin , Amit Sheth

The COVID-19 pandemic has had adverse effects on both physical and mental health. During this pandemic, numerous studies have focused on gaining insights into health-related perspectives from social media. In this study, our primary…

Machine Learning · Computer Science 2024-12-02 Mahathir Mohammad Bishal , Md. Rakibul Hassan Chowdory , Anik Das , Muhammad Ashad Kabir

The objective of this work is to explore popular discourse about the COVID-19 pandemic and policies implemented to manage it. Using Natural Language Processing, Text Mining, and Network Analysis to analyze corpus of tweets that relate to…

Social and Information Networks · Computer Science 2020-03-24 Christian E. Lopez , Malolan Vasu , Caleb Gallemore

This paper describes the system submitted to "Sentiment Analysis at SEPLN (TASS)-2019" shared task. The task includes sentiment analysis of Spanish tweets, where the tweets are in different dialects spoken in Spain, Peru, Costa Rica,…

Computation and Language · Computer Science 2019-08-02 Avishek Garain , Sainik Kumar Mahata

As the Covid-19 outbreaks rapidly all over the world day by day and also affects the lives of million, a number of countries declared complete lock-down to check its intensity. During this lockdown period, social media plat-forms have…

Computation and Language · Computer Science 2021-06-15 Arunava Kumar Chakraborty , Sourav Das , Anup Kumar Kolya

The widespread usage of social networks during mass convergence events, such as health emergencies and disease outbreaks, provides instant access to citizen-generated data that carry rich information about public opinions, sentiments,…

Social and Information Networks · Computer Science 2023-06-05 Muhammad Imran , Umair Qazi , Ferda Ofli

COVID-19 has created a major public health problem worldwide and other problems such as economic crisis, unemployment, mental distress, etc. The pandemic is deadly in the world and involves many people not only with infection but also with…

Machine Learning · Computer Science 2025-11-25 Khandaker Tayef Shahriar , Iqbal H. Sarker

In the contemporary era, social media platforms amass an extensive volume of social data contributed by their users. In order to promptly grasp the opinions and emotional inclinations of individuals regarding a product or event, it becomes…

Computation and Language · Computer Science 2024-06-18 Jitendra Tembhurne , Anant Agrawal , Kirtan Lakhotia

Along with the Coronavirus pandemic, another crisis has manifested itself in the form of mass fear and panic phenomena, fueled by incomplete and often inaccurate information. There is therefore a tremendous need to address and better…

Information Retrieval · Computer Science 2020-06-12 Jim Samuel , G. G. Md. Nawaz Ali , Md. Mokhlesur Rahman , Ek Esawi , Yana Samuel

We describe Mega-COV, a billion-scale dataset from Twitter for studying COVID-19. The dataset is diverse (covers 268 countries), longitudinal (goes as back as 2007), multilingual (comes in 100+ languages), and has a significant number of…

Social and Information Networks · Computer Science 2021-02-09 Muhammad Abdul-Mageed , AbdelRahim Elmadany , El Moatez Billah Nagoudi , Dinesh Pabbi , Kunal Verma , Rannie Lin

In 2020, COVID-19 became the chief concern of the world and is still reflected widely in all social networks. Each day, users post millions of tweets and comments on this subject, which contain significant implicit information about the…

Social and Information Networks · Computer Science 2021-10-13 Hamed Vahdat-Nejad , Fatemeh Salmani , Mahdi Hajiabadi , Faezeh Azizi , Sajedeh Abbasi , Mohadese Jamalian , Reyhane Mosafer , Hamideh Hajiabadi

Sentiment analysis can largely influence the people to get the update of the current situation. Coronavirus (COVID-19) is a contagious illness caused by the coronavirus 2 that causes severe respiratory symptoms. The lives of millions have…

Social and Information Networks · Computer Science 2022-04-07 Nosin Ibna Mahbub , Md Rakibul Islam , Md Al Amin , Md Khairul Islam , Bikash Chandra Singh , Md Imran Hossain Showrov , Anirudda Sarkar

Over 12 billion doses of COVID-19 vaccines have been administered at the time of writing. However, public perceptions of vaccines have been complex. We analyzed COVID-19 vaccine-related tweets to understand the evolving perceptions of…

Computation and Language · Computer Science 2022-07-22 Hanyin Wang , Meghan R. Hutch , Yikuan Li , Adrienne S. Kline , Sebastian Otero , Leena B. Mithal , Emily S. Miller , Andrew Naidech , Yuan Luo

This COVID-19 pandemic is so dreadful that it leads to severe anxiety, phobias, and complicated feelings or emotions. Even after vaccination against Coronavirus has been initiated, people feelings have become more diverse and complex, and…

Background. After a year and half and over 4 million deaths, the COVID-19 pandemic continues to be widespread, and its related topics continue to dominate the global media. Although COVID-19 diagnoses have been well monitored, neither the…

Computers and Society · Computer Science 2021-08-19 Guangqing Chi , Junjun Yin , M. Luke Smith , Yosef Bodovski

Crises such as natural disasters, global pandemics, and social unrest continuously threaten our world and emotionally affect millions of people worldwide in distinct ways. Understanding emotions that people express during large-scale crises…

Computation and Language · Computer Science 2022-07-22 Tiberiu Sosea , Chau Pham , Alexander Tekle , Cornelia Caragea , Junyi Jessy Li
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