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The study of Twitter as a means for analyzing social phenomena has gained interest in recent years due to the availability of large amounts of data in a relatively spontaneous environment. Within opinion-mining tasks, emotion detection is…

Computation and Language · Computer Science 2024-07-11 Juan Jose Iguaran Fernandez , Juan Manuel Perez , German Rosati

Sentiment analysis of social media data consists of attitudes, assessments, and emotions which can be considered a way human think. Understanding and classifying the large collection of documents into positive and negative aspects are a…

Computation and Language · Computer Science 2020-07-16 Aditya Sharma , Alex Daniels

As of 2020 when the COVID-19 pandemic is full-blown on a global scale, people's need to have access to legitimate information regarding COVID-19 is more urgent than ever, especially via online media where the abundance of irrelevant…

Computation and Language · Computer Science 2020-09-15 Thai Quoc Hoang , Phuong Thu Vu

Administering COVID-19 vaccines at a societal scale has been deemed as the most appropriate way to defend against the COVID-19 pandemic. This global vaccination drive naturally fueled a possibility of Pro-Vaxxers and Anti-Vaxxers strongly…

Social and Information Networks · Computer Science 2021-11-23 Soham Poddar , Mainack Mondal , Janardan Misra , Niloy Ganguly , Saptarshi Ghosh

COVID-19 misinformation on social media platforms such as twitter is a threat to effective pandemic management. Prior works on tweet COVID-19 misinformation negates the role of semantic features common to twitter such as charged emotions.…

Computation and Language · Computer Science 2023-03-30 Gabriel Asher , Phil Bohlman , Karsten Kleyensteuber

Sentiment analysis is essential in many real-world applications such as stance detection, review analysis, recommendation system, and so on. Sentiment analysis becomes more difficult when the data is noisy and collected from social media.…

Computation and Language · Computer Science 2018-03-20 Braja Gopal Patra , Dipankar Das , Amitava Das

With the outbreak of the Covid-19 virus, the activity of users on Twitter has significantly increased. Some studies have investigated the hot topics of tweets in this period; however, little attention has been paid to presenting and…

Social and Information Networks · Computer Science 2021-10-06 Faezeh Azizi , Hamed Vahdat-Nejad , Hamideh Hajiabadi , Mohammad Hossein Khosravi

One of the most significant issues as attended a lot in recent years is that of recognizing the sentiments and emotions in social media texts. The analysis of sentiments and emotions is intended to recognize the conceptual information such…

Machine Learning · Computer Science 2025-03-27 Bahareh Golchin , Noushin Riahi

The objective of the study is to examine coronavirus disease (COVID-19) related discussions, concerns, and sentiments that emerged from tweets posted by Twitter users. We analyze 4 million Twitter messages related to the COVID-19 pandemic…

Social and Information Networks · Computer Science 2020-06-22 Jia Xue , Junxiang Chen , Ran Hu , Chen Chen , ChengDa Zheng , Xiaoqian Liu , Tingshao Zhu

The way people respond to messaging from public health organizations on social media can provide insight into public perceptions on critical health issues, especially during a global crisis such as COVID-19. It could be valuable for…

Computation and Language · Computer Science 2022-05-16 Abraham Sanders , Debjani Ray-Majumder , John S. Erickson , Kristin P. Bennett

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

Mining and analysis of the big data of Twitter conversations have been of significant interest to the scientific community in the fields of healthcare, epidemiology, big data, data science, computer science, and their related areas, as can…

Social and Information Networks · Computer Science 2023-12-19 Nirmalya Thakur

Country image has a profound influence on international relations and economic development. In the worldwide outbreak of COVID-19, countries and their people display different reactions, resulting in diverse perceived images among foreign…

Computers and Society · Computer Science 2020-09-17 Huimin Chen , Zeyu Zhu , Fanchao Qi , Yining Ye , Zhiyuan Liu , Maosong Sun , Jianbin Jin

In recent months, COVID-19 has become a global pandemic and had a huge impact on the world. People under different conditions have very different attitudes toward the epidemic. Due to the real-time and large-scale nature of social media, we…

Social and Information Networks · Computer Science 2020-06-03 Yuqi Gao , Hang Hua , Jiebo Luo

The COVID-19 pandemic has profoundly affected the normal course of life -- from lock-downs and virtual meetings to the unprecedentedly swift creation of vaccines. To halt the COVID-19 pandemic, the world has started preparing for the global…

Machine Learning · Computer Science 2025-03-05 Tanveer Khan , Fahad Sohrab , Antonis Michalas , Moncef Gabbouj

Social media has become extremely influential when it comes to policy making in modern societies, especially in the western world, where platforms such as Twitter allow users to follow politicians, thus making citizens more involved in…

Computation and Language · Computer Science 2023-04-05 Dimosthenis Antypas , Alun Preece , Jose Camacho-Collados

The global impact of the COVID-19 pandemic has highlighted the need for a comprehensive understanding of public sentiment and reactions. Despite the availability of numerous public datasets on COVID-19, some reaching volumes of up to 100…

Computation and Language · Computer Science 2025-10-10 Qiang Yang , Xiuying Chen , Changsheng Ma , Rui Yin , Xin Gao , Xiangliang Zhang

The emergence of global health crises, such as COVID-19 and Monkeypox (mpox), has underscored the importance of understanding public sentiment to inform effective public health strategies. This study conducts a comparative sentiment…

Computation and Language · Computer Science 2025-07-11 Mostafa Mohaimen Akand Faisal , Rabeya Amin Jhuma , Jamini Jasim

This study investigated and compared public sentiment related to COVID-19 vaccines expressed on two popular social media platforms, Reddit and Twitter, harvested from January 1, 2020, to March 1, 2022. To accomplish this task, we created a…

Computation and Language · Computer Science 2022-11-29 Chad A Melton , Brianna M White , Robert L Davis , Robert A Bednarczyk , Arash Shaban-Nejad

From conspiracy theories to fake cures and fake treatments, COVID-19 has become a hot-bed for the spread of misinformation online. It is more important than ever to identify methods to debunk and correct false information online. In this…

Social and Information Networks · Computer Science 2020-09-22 Shahan Ali Memon , Kathleen M. Carley