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相关论文: Topic, Sentiment and Impact Analysis: COVID19 Info…

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Social media platforms contain abundant data that can provide comprehensive knowledge of historical and real-time events. During crisis events, the use of social media peaks, as people discuss what they have seen, heard, or felt. Previous…

社会与信息网络 · 计算机科学 2023-10-10 Rabindra Lamsal , Maria Rodriguez Read , Shanika Karunasekera

The outbreak of the novel Coronavirus Disease (COVID-19) has greatly influenced people's daily lives across the globe. Emergent measures and policies (e.g., lockdown, social distancing) have been taken by governments to combat this highly…

信息检索 · 计算机科学 2020-07-07 Hui Yin , Shuiqiao Yang , Jianxin Li

The sudden outbreak of COVID-19 resulted in large volumes of data shared on different social media platforms. Analyzing and visualizing these data is doubtlessly essential to having a deep understanding of the pandemic's impacts on people's…

社会与信息网络 · 计算机科学 2021-06-28 Omar Abdel Wahab , Ali Mustafa , André Bertrand Abisseck Bamatakina

During the outbreak of the COVID-19 pandemic, social networks become the preeminent medium for communication, social discussion, and entertainment. Social network users are regularly expressing their opinions about the impacts of the…

社会与信息网络 · 计算机科学 2021-03-25 Eldor Abdukhamidov , Firuz Juraev , Mohammed Abuhamad , Tamer AbuHmed

COVID-19 has been devastating the world since the end of 2019 and has continued to play a significant role in major national and worldwide events, and consequently, the news. In its wake, it has left no life unaffected. Having earned the…

社会与信息网络 · 计算机科学 2021-04-23 Shayan Fazeli , Davina Zamanzadeh , Anaelia Ovalle , Thu Nguyen , Gilbert Gee , Majid Sarrafzadeh

Understanding the characteristics of public attention and sentiment is an essential prerequisite for appropriate crisis management during adverse health events. This is even more crucial during a pandemic such as COVID-19, as primary…

社会与信息网络 · 计算机科学 2020-11-03 Oguzhan Gencoglu , Mathias Gruber

Social media platforms facilitate mankind a data-driven world by enabling billions of people to share their thoughts and activities ubiquitously. This huge collection of data, if analysed properly, can provide useful insights into people's…

社会与信息网络 · 计算机科学 2020-09-22 Thirunavukarasu Balasubramaniam , Richi Nayak , Md Abul Bashar

The COVID-19 pandemic has created widespread health and economical impacts, affecting millions around the world. To better understand these impacts, we present the TweetCOVID system that offers the capability to understand the public…

社会与信息网络 · 计算机科学 2021-03-03 Jolin Shaynn-Ly Kwan , Kwan Hui Lim

The COVID-19 pandemic has caused widespread devastation throughout the world. In addition to the health and economical impacts, there is an enormous emotional toll associated with the constant stress of daily life with the numerous…

社会与信息网络 · 计算机科学 2020-12-08 Jolin Shaynn-Ly Kwan , Kwan Hui Lim

Social Media can be used to extract discussion topics during a disaster. With the COVID-19 pandemic impact on South Africa, we need to understand how the law and regulation promulgated by the government in response to the pandemic contrasts…

社会与信息网络 · 计算机科学 2021-08-10 Vukosi Marivate , Avashlin Moodley , Athandiwe Saba

Social media is a rich source where we can learn about people's reactions to social issues. As COVID-19 has significantly impacted on people's lives, it is essential to capture how people react to public health interventions and understand…

计算与语言 · 计算机科学 2020-07-07 Hyeju Jang , Emily Rempel , Giuseppe Carenini , Naveed Janjua

The recent COVID-19 pandemic has caused unprecedented impact across the globe. We have also witnessed millions of people with increased mental health issues, such as depression, stress, worry, fear, disgust, sadness, and anxiety, which have…

社会与信息网络 · 计算机科学 2020-07-07 Jianlong Zhou , Hamad Zogan , Shuiqiao Yang , Shoaib Jameel , Guandong Xu , Fang Chen

This paper proposes a methodology for exploring how linguistic behaviour on social media can be used to explore societal reactions to important events such as those that transpired during the SARS CoV2 pandemic. In particular, where spatial…

计算与语言 · 计算机科学 2023-06-29 Anslow Michael , Galletti Martina

The COVID-19 pandemic has been affecting the world dramatically ever since 2020. The minimum availability of physical interactions during the lockdown has caused more and more people to turn to online activities on social media platforms.…

社会与信息网络 · 计算机科学 2023-09-19 Cai Yang

As of writing this paper, COVID-19 (Coronavirus disease 2019) has spread to more than 220 countries and territories. Following the outbreak, the pandemic's seriousness has made people more active on social media, especially on the…

计算与语言 · 计算机科学 2022-09-14 Rabindra Lamsal , Aaron Harwood , Maria Rodriguez Read

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…

At the time of writing, the ongoing pandemic of coronavirus disease (COVID-19) has caused severe impacts on society, economy and people's daily lives. People constantly express their opinions on various aspects of the pandemic on social…

社会与信息网络 · 计算机科学 2020-06-08 Xiaoya Li , Mingxin Zhou , Jiawei Wu , Arianna Yuan , Fei Wu , Jiwei Li

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…

计算与语言 · 计算机科学 2021-06-15 Arunava Kumar Chakraborty , Sourav Das , Anup Kumar Kolya

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…

计算与语言 · 计算机科学 2022-07-22 Tiberiu Sosea , Chau Pham , Alexander Tekle , Cornelia Caragea , Junyi Jessy Li

To track online emotional expressions of the Austrian population close to real-time during the COVID-19 pandemic, we build a self-updating monitor of emotion dynamics using digital traces from three different data sources. This enables…

计算机与社会 · 计算机科学 2020-06-22 Max Pellert , Jana Lasser , Hannah Metzler , David Garcia
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