English
Related papers

Related papers: Detecting Perceived Emotions in Hurricane Disaster…

200 papers

Online social networks allow different agencies and the public to interact and share the underlying risks and protective actions during major disasters. This study revealed such crisis communication patterns during hurricane Laura…

Social and Information Networks · Computer Science 2024-04-01 Khondhaker Al Momin , H M Imran Kays , Arif Mohaimin Sadri

Emotion mining has become a crucial tool for understanding human emotions during disasters, leveraging the extensive data generated on social media platforms. This paper aims to summarize existing research on emotion mining within disaster…

Computation and Language · Computer Science 2024-09-04 Soheil Shapouri , Saber Soleymani , Saed Rezayi

Information flow during catastrophic events is a critical aspect of disaster management. Modern communication platforms, in particular online social networks, provide an opportunity to study such flow, and a mean to derive early-warning…

Social and Information Networks · Computer Science 2015-06-18 Yury Kryvasheyeu , Haohui Chen , Esteban Moro , Pascal Van Hentenryck , Manuel Cebrian

Natural hazards are becoming increasingly expensive as climate change and development are exposing communities to greater risks. Preparation and recovery are critical for climate change resilience, and social media are being used more and…

Social and Information Networks · Computer Science 2019-03-06 Meredith T. Niles , Benjamin F. Emery , Andrew J. Reagan , Peter Sheridan Dodds , Christopher M. Danforth

During and after disasters, highways provide vital routes for emergency services, relief efforts, and evacuation activities. Thus, a timely and reliable assessment of disaster impacts on highways is critical for decision-makers to quickly…

Social and Information Networks · Computer Science 2019-09-10 Yudi Chen , Qi Wang , Wenying Ji

The public understanding of climate change plays a critical role in translating climate science into climate action. In the public discourse, climate impacts are often discussed in the context of extreme weather events. Here, we analyse 65…

Over the last few years, social media has evolved into a medium for expressing personal views, emotions, and even business and political proposals, recommendations, and advertisements. We address the topic of identifying emotions from text…

Machine Learning · Computer Science 2025-11-06 Md Mahbubur Rahman , Shaila Sharmin

Social media like Twitter provide a common platform to share and communicate personal experiences with other people. People often post their life experiences, local news, and events on social media to inform others. Many rescue agencies…

Computation and Language · Computer Science 2021-08-25 Ashis Kumar Chanda

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

Automatic identification of emotions expressed in Twitter data has a wide range of applications. We create a well-balanced dataset by adding a neutral class to a benchmark dataset consisting of four emotions: fear, sadness, joy, and anger.…

Computation and Language · Computer Science 2022-08-10 Ionuţ-Alexandru Albu , Stelian Spînu

Natural disasters cause multidimensional threats to human societies, with hurricanes exemplifying one of the most disruptive events that not only caused severe physical damage but also sparked widespread discussion on social media…

Social and Information Networks · Computer Science 2026-01-21 Ruichen Yao , Aslanbek Murzakhmetov , Raaghav Pillai , Aliya Maussymbayeva , Zelin Li , Yifan Liu , Yaokun Liu , Lanyu Shang , Yang Zhang , Na Wei , Ximing Cai , Dong Wang

This paper presents our research on leveraging social media Big Data and AI to support hurricane disaster emergency response. The current practice of hurricane emergency response for rescue highly relies on emergency call centres. The more…

Artificial Intelligence · Computer Science 2021-06-15 Jingwei Huang , Wael Khallouli , Ghaith Rabadi , Mamadou Seck

Social media have been widely exploited to detect and gather relevant information about opinions and events. However, the relevance of the information is very subjective and rather depends on the application and the end-users. In this…

Computer Vision and Pattern Recognition · Computer Science 2019-10-11 Syed Zohaib , Kashif Ahmad , Nicola Conci , Ala Al-Fuqaha

Social media is a primary medium for information diffusion during natural disasters. The social media ecosystem has been used to identify destruction, analyze opinions and organize aid. While the overall picture and aggregate trends may be…

Social and Information Networks · Computer Science 2025-02-06 Lynnette Hui Xian Ng , Iain J. Cruickshank , David Farr

Social media is now the predominant source of information due to the availability of immediate public response. As a result, social media data has become a valuable resource for comprehending public sentiments. Studies have shown that it…

Computation and Language · Computer Science 2024-10-28 Daniyar Amangeldi , Aida Usmanova , Pakizar Shamoi

We conduct the largest ever investigation into the relationship between meteorological conditions and the sentiment of human expressions. To do this, we employ over three and a half billion social media posts from tens of millions of…

Timely and reliable sensing of infrastructure conditions is critical in disaster management for planning effective infrastructure restorations. Social media, a near real-time information source, has been widely used in disasters for forming…

Social and Information Networks · Computer Science 2021-03-02 Yudi Chen , Angel Umana , Chaowei Yang , Wenying JI

Emotions are integral to human social interactions, with diverse responses elicited by various situational contexts. Particularly, the prevalence of negative emotional states has been correlated with negative outcomes for mental health,…

Computation and Language · Computer Science 2024-01-10 Abu Bakar Siddiqur Rahman , Hoang-Thang Ta , Lotfollah Najjar , Azad Azadmanesh , Ali Saffet Gönül

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

People increasingly use social media to report emergencies, seek help or share information during disasters, which makes social networks an important tool for disaster management. To meet these time-critical needs, we present a weakly…

Computation and Language · Computer Science 2020-10-06 Wenlin Yao , Cheng Zhang , Shiva Saravanan , Ruihong Huang , Ali Mostafavi