中文
相关论文

相关论文: HumAID: Human-Annotated Disaster Incidents Data fr…

200 篇论文

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

Time-critical analysis of social media streams is important for humanitarian organizations for planing rapid response during disasters. The \textit{crisis informatics} research community has developed several techniques and systems for…

社会与信息网络 · 计算机科学 2021-04-20 Firoj Alam , Hassan Sajjad , Muhammad Imran , Ferda Ofli

People increasingly use microblogging platforms such as Twitter during natural disasters and emergencies. Research studies have revealed the usefulness of the data available on Twitter for several disaster response tasks. However, making…

社会与信息网络 · 计算机科学 2018-05-16 Firoj Alam , Ferda Ofli , Muhammad Imran , Michael Aupetit

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

Microblogging platforms such as Twitter provide active communication channels during mass convergence and emergency events such as earthquakes, typhoons. During the sudden onset of a crisis situation, affected people post useful information…

计算与语言 · 计算机科学 2016-06-01 Muhammad Imran , Prasenjit Mitra , Carlos Castillo

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…

计算与语言 · 计算机科学 2020-10-06 Wenlin Yao , Cheng Zhang , Shiva Saravanan , Ruihong Huang , Ali Mostafavi

Streaming social media provides a real-time glimpse of extreme weather impacts. However, the volume of streaming data makes mining information a challenge for emergency managers, policy makers, and disciplinary scientists. Here we explore…

Timely classification of humanitarian information from social media is critical for effective disaster response. However, deploying large language models (LLMs) for this task faces challenges in resource-constrained emergency settings. This…

计算与语言 · 计算机科学 2026-02-16 Han Jinzhen , Kim Jisung , Yang Jong Soo , Yun Hong Sik

Tweet hashtags have the potential to improve the search for information during disaster events. However, there is a large number of disaster-related tweets that do not have any user-provided hashtags. Moreover, only a small number of tweets…

信息检索 · 计算机科学 2020-01-07 Jishnu Ray Chowdhury , Cornelia Caragea , Doina Caragea

It is a challenging and complex task to acquire information from different regions of a disaster-affected area in a timely fashion. The extensive spread and reach of social media and networks allow people to share information in real-time.…

社会与信息网络 · 计算机科学 2019-08-06 Md. Yasin Kabir , Sanjay Madria

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

The shared real-time information about natural disasters on social media platforms like Twitter and Facebook plays a critical role in informing volunteers, emergency managers, and response organizations. However, supervised learning models…

计算与语言 · 计算机科学 2023-10-24 Henry Peng Zou , Yue Zhou , Cornelia Caragea , Doina Caragea

Social media is often utilized as a lifeline for communication during natural disasters. Traditionally, natural disaster tweets are filtered from the Twitter stream using the name of the natural disaster and the filtered tweets are sent for…

计算与语言 · 计算机科学 2022-07-12 Ramya Tekumalla , Juan M. Banda

Social media such as tweets are emerging as platforms contributing to situational awareness during disasters. Information shared on Twitter by both affected population (e.g., requesting assistance, warning) and those outside the impact zone…

信息检索 · 计算机科学 2017-05-08 Hien To , Sumeet Agrawal , Seon Ho Kim , Cyrus Shahabi

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

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 or man-made disasters, humanitarian response organizations look for useful information to support their decision-making processes. Social media platforms such as Twitter have been considered as a vital source of useful…

计算与语言 · 计算机科学 2016-10-06 Dat Tien Nguyen , Shafiq Joty , Muhammad Imran , Hassan Sajjad , Prasenjit Mitra

Social media plays a significant role in disaster management by providing valuable data about affected people, donations and help requests. Recent studies highlight the need to filter information on social media into fine-grained content…

计算与语言 · 计算机科学 2021-05-20 Hamada M. Zahera , Rricha Jalota , Mohamed A. Sherif , Axel N. Ngomo

The role of social media, in particular microblogging platforms such as Twitter, as a conduit for actionable and tactical information during disasters is increasingly acknowledged. However, time-critical analysis of big crisis data on…

计算与语言 · 计算机科学 2016-08-16 Dat Tien Nguyen , Kamela Ali Al Mannai , Shafiq Joty , Hassan Sajjad , Muhammad Imran , Prasenjit Mitra

Online social media platforms, such as Twitter, provide valuable information during disaster events. Existing tweet disaster summarization approaches provide a summary of these events to aid government agencies, humanitarian organizations,…

计算与语言 · 计算机科学 2024-05-13 Piyush Kumar Garg , Roshni Chakraborty , Sourav Kumar Dandapat
‹ 上一页 1 2 3 10 下一页 ›