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相关论文: Natural Disasters Detection in Social Media and Sa…

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Disaster Management is one of the most promising research areas because of its significant economic, environmental and social repercussions. This research focuses on analyzing different types of data (pre and post satellite images and…

机器学习 · 计算机科学 2023-11-17 Sukeerthi Mandyam , Shanmuga Priya MG , Shalini Suresh , Kavitha Srinivasan

Social media has become an essential channel for posting disaster-related information, which provide governments and relief agencies real-time data for better disaster management. However, research in this field has not received sufficient…

社会与信息网络 · 计算机科学 2021-07-13 Zhijie Sasha Dong , Lingyu Meng , Lauren Christenson , Lawrence Fulton

During natural and man-made disasters, people use social media platforms such as Twitter to post textual and multime- dia content to report updates about injured or dead people, infrastructure damage, and missing or found people among other…

社会与信息网络 · 计算机科学 2018-05-03 Firoj Alam , Ferda Ofli , Muhammad Imran

Social media has emerged as a valuable resource for disaster management, revolutionizing the way emergency response and recovery efforts are conducted during natural disasters. This review paper aims to provide a comprehensive analysis of…

社会与信息网络 · 计算机科学 2025-06-10 Mohammadsepehr Karimiziarani

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…

计算机视觉与模式识别 · 计算机科学 2019-10-11 Syed Zohaib , Kashif Ahmad , Nicola Conci , Ala Al-Fuqaha

The increasing popularity of social networks and users' tendency towards sharing their feelings, expressions, and opinions in text, visual, and audio content, have opened new opportunities and challenges in sentiment analysis. While…

计算机视觉与模式识别 · 计算机科学 2020-09-08 Syed Zohaib Hassan , Kashif Ahmad , Steven Hicks , Paal Halvorsen , Ala Al-Fuqaha , Nicola Conci , Michael Riegler

Responding to natural disasters, such as earthquakes, floods, and wildfires, is a laborious task performed by on-the-ground emergency responders and analysts. Social media has emerged as a low-latency data source to quickly understand…

计算机视觉与模式识别 · 计算机科学 2020-08-24 Ethan Weber , Nuria Marzo , Dim P. Papadopoulos , Aritro Biswas , Agata Lapedriza , Ferda Ofli , Muhammad Imran , Antonio Torralba

Traditional post-disaster assessment of damage heavily relies on expensive GIS data, especially remote sensing image data. In recent years, social media has become a rich source of disaster information that may be useful in assessing damage…

计算机视觉与模式识别 · 计算机科学 2018-06-20 Xukun Li , Huaiyu Zhang , Doina Caragea , Muhammad Imran

During a disaster event, images shared on social media helps crisis managers gain situational awareness and assess incurred damages, among other response tasks. Recent advances in computer vision and deep neural networks have enabled the…

计算机视觉与模式识别 · 计算机科学 2020-11-19 Firoj Alam , Ferda Ofli , Muhammad Imran , Tanvirul Alam , Umair Qazi

The success of a disaster relief and response process is largely dependent on timely and accurate information regarding the status of the disaster, the surrounding environment, and the affected people. This information is primarily provided…

社会与信息网络 · 计算机科学 2017-09-11 Tahora H. Nazer , Guoliang Xue , Yusheng Ji , Huan Liu

Due to their often unexpected nature, natural and man-made disasters are difficult to monitor and detect for journalists and disaster management response teams. Journalists are increasingly relying on signals from social media to detect…

社会与信息网络 · 计算机科学 2017-09-11 Armineh Nourbakhsh , Quanzhi Li , Xiaomo Liu , Sameena Shah

Lack of global data inventories obstructs scientific modeling of and response to landslide hazards which are oftentimes deadly and costly. To remedy this limitation, new approaches suggest solutions based on citizen science that requires…

计算机视觉与模式识别 · 计算机科学 2024-04-25 Ferda Ofli , Muhammad Imran , Umair Qazi , Julien Roch , Catherine Pennington , Vanessa J. Banks , Remy Bossu

In this paper, we present the first results of our ongoing early-stage research on a realtime disaster detection and monitoring tool. Based on Wikipedia, it is language-agnostic and leverages user-generated multimedia content shared on…

社会与信息网络 · 计算机科学 2015-01-27 Thomas Steiner , Ruben Verborgh

Peatland fires and haze events are disasters with national, regional and international implications. The phenomena lead to direct damage to local assets, as well as broader economic and environmental losses. Satellite imagery is still the…

社会与信息网络 · 计算机科学 2017-08-03 Mark Kibanov , Gerd Stumme , Imaduddin Amin , Jong Gun Lee

Social media analysis of disaster events is a critical task in crisis informatics research. It involves analyzing social media data generated during natural disasters, crisis events, or other mass convergence events. Due to the large data…

软件工程 · 计算机科学 2020-07-09 Gerard Casas Saez

Multimedia content in social media platforms provides significant information during disaster events. The types of information shared include reports of injured or deceased people, infrastructure damage, and missing or found people, among…

计算机视觉与模式识别 · 计算机科学 2020-04-27 Ferda Ofli , Firoj Alam , Muhammad Imran

The use of satellite imagery has become increasingly popular for disaster monitoring and response. After a disaster, it is important to prioritize rescue operations, disaster response and coordinate relief efforts. These have to be carried…

计算机与社会 · 计算机科学 2018-12-19 Jigar Doshi , Saikat Basu , Guan Pang

Could social media data aid in disaster response and damage assessment? Countries face both an increasing frequency and intensity of natural disasters due to climate change. And during such events, citizens are turning to social media…

社会与信息网络 · 计算机科学 2015-04-28 Yury Kryvasheyeu , Haohui Chen , Nick Obradovich , Esteban Moro , Pascal Van Hentenryck , James Fowler , Manuel Cebrian

Thousands of human lives are lost every year around the globe, apart from significant damage on property, animal life, etc., due to natural disasters (e.g., earthquake, flood, tsunami, hurricane and other storms, landslides, cloudburst,…

计算机与社会 · 计算机科学 2016-11-01 Saptarsi Goswami , Sanjay Chakraborty , Sanhita Ghosh , Amlan Chakrabarti , Basabi Chakraborty

With the development of the Internet, social media has become an important channel for posting disaster-related information. Analyzing attitudes hidden in these texts, known as sentiment analysis, is crucial for the government or relief…

社会与信息网络 · 计算机科学 2020-05-29 Lingyu Meng , Zhijie Sasha Dong
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