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相关论文: Applications of Online Deep Learning for Crisis Re…

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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

Social media has quickly grown into an essential tool for people to communicate and express their needs during crisis events. Prior work in analyzing social media data for crisis management has focused primarily on automatically identifying…

社会与信息网络 · 计算机科学 2020-07-24 Swati Padhee , Tanay Kumar Saha , Joel Tetreault , Alejandro Jaimes

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

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

Social media platforms such as Twitter, Facebook etc can be utilised as an important source of information during disaster events. This information can be used for disaster response and crisis management if processed accurately and quickly.…

机器学习 · 计算机科学 2021-07-02 Aman Priyanshu , Mudit Sinha , Shreyans Mehta

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 networking services have became an important communication channel in time of emergency. The aim of this study is to create a machine learning language model that is able to investigate if a person or area was in danger or not. The…

计算与语言 · 计算机科学 2022-02-03 Anh Duc Le

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

Online social microblogging platforms including Twitter are increasingly used for aiding relief operations during disaster events. During most of the calamities that can be natural disasters or even armed attacks, non-governmental…

信息检索 · 计算机科学 2018-10-30 Bhaskar Gautam , Annappa Basava

A timely and effective response is crucial to minimize damage and save lives during natural disasters like earthquakes. Microblogging platforms, particularly Twitter, have emerged as valuable real-time information sources for such events.…

社会与信息网络 · 计算机科学 2025-03-24 Deep Patel , Panthadeep Bhattacharjee , Amit Reza , Priodyuti Pradhan

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

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

Twitter is recently being used during crises to communicate with officials and provide rescue and relief operation in real time. The geographical location information of the event, as well as users, are vitally important in such scenarios.…

机器学习 · 计算机科学 2019-01-25 Abhinav Kumar , Jyoti Prakash Singh

The extensive use of social media platforms, especially during disasters, creates unique opportunities for humanitarian organizations to gain situational awareness and launch relief operations accordingly. In addition to the textual…

计算机与社会 · 计算机科学 2017-04-11 Dat Tien Nguyen , Firoj Alam , Ferda Ofli , Muhammad Imran

During time-critical situations such as natural disasters, rapid classification of data posted on social networks by affected people is useful for humanitarian organizations to gain situational awareness and to plan response efforts.…

计算机与社会 · 计算机科学 2018-05-17 Firoj Alam , Shafiq Joty , Muhammad Imran

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

Social networks are widely used for information consumption and dissemination, especially during time-critical events such as natural disasters. Despite its significantly large volume, social media content is often too noisy for direct use…

计算与语言 · 计算机科学 2021-04-09 Firoj Alam , Umair Qazi , Muhammad Imran , Ferda Ofli

Social media are more than just a one-way communication channel. Data can be collected, analyzed and contextualized to support disaster risk management. However, disaster management agencies typically use such added-value information to…

社会与信息网络 · 计算机科学 2018-02-09 Markus Enenkel , Sofia Martinez Saenz , Denyse S. Dookie , Lisette Braman , Nick Obradovich , Yury Kryvasheyeu

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…

机器学习 · 计算机科学 2025-03-27 Bahareh Golchin , Noushin Riahi

Microblogging sites like Twitter and Weibo have emerged as important sourcesof real-time information on ongoing events, including socio-political events, emergency events, and so on. For instance, during emergency events (such as…

信息检索 · 计算机科学 2017-07-20 Prannay Khosla , Moumita Basu , Kripabandhu Ghosh , Saptarshi Ghosh
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