English
Related papers

Related papers: Identification of Fine-Grained Location Mentions i…

200 papers

In recent years, with the prevalence of social media and smart devices, people causally reveal their locations such as shops, hotels, and restaurants in their tweets. Recognizing and linking such fine-grained location mentions to…

Computation and Language · Computer Science 2019-03-05 Canwen Xu , Jing Li , Xiangyang Luo , Jiaxin Pei , Chenliang Li , Donghong Ji

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.…

Machine Learning · Computer Science 2019-01-25 Abhinav Kumar , Jyoti Prakash Singh

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…

Computation and Language · Computer Science 2023-10-24 Henry Peng Zou , Yue Zhou , Cornelia Caragea , Doina Caragea

Real-time tweets can provide useful information on evolving events and situations. Geotagged tweets are especially useful, as they indicate the location of origin and provide geographic context. However, only a small portion of tweets are…

Social and Information Networks · Computer Science 2019-10-08 Luke S. Snyder , Morteza Karimzadeh , Ray Chen , David S. Ebert

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.…

Social and Information Networks · Computer Science 2019-08-06 Md. Yasin Kabir , Sanjay Madria

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

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…

Information Retrieval · Computer Science 2017-05-08 Hien To , Sumeet Agrawal , Seon Ho Kim , Cyrus Shahabi

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…

Computation and Language · Computer Science 2016-08-16 Dat Tien Nguyen , Kamela Ali Al Mannai , Shafiq Joty , Hassan Sajjad , Muhammad Imran , Prasenjit Mitra

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…

Computer Vision and Pattern Recognition · Computer Science 2020-11-19 Firoj Alam , Ferda Ofli , Muhammad Imran , Tanvirul Alam , Umair Qazi

Disaster response agencies have started to incorporate social media as a source of fast-breaking information to understand the needs of people affected by the many crises that occur around the world. These agencies look for tweets from…

Computation and Language · Computer Science 2022-04-06 Fred Morstatter , Nichola Lubold , Heather Pon-Barry , Jürgen Pfeffer , Huan Liu

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…

Social and Information Networks · Computer Science 2021-04-20 Firoj Alam , Hassan Sajjad , Muhammad Imran , Ferda Ofli

In the field of crisis/disaster informatics, social media is increasingly being used for improving situational awareness to inform response and relief efforts. Efficient and accurate text classification tools have been a focal area of…

Computation and Language · Computer Science 2025-08-08 Kai Yin , Bo Li , Chengkai Liu , Ali Mostafavi , Xia Hu

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…

Computation and Language · Computer Science 2016-10-06 Dat Tien Nguyen , Shafiq Joty , Muhammad Imran , Hassan Sajjad , Prasenjit Mitra

Twitter is a useful resource to analyze peoples' opinions on various topics. Often these topics are correlated or associated with locations from where these Tweet posts are made. For example, restaurant owners may need to know where their…

Machine Learning · Computer Science 2021-06-28 Florina Dutt , Subhajit Das

Catastrophic events create uncertain situations for humanitarian organizations locating and providing aid to affected people. Many people turn to social media during disasters for requesting help and/or providing relief to others. However,…

Computation and Language · Computer Science 2023-03-07 Irfan Ullah , Sharifullah Khan , Muhammad Imran , Young-Koo Lee

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…

Computation and Language · Computer Science 2021-05-20 Hamada M. Zahera , Rricha Jalota , Mohamed A. Sherif , Axel N. Ngomo

Information from social media can provide essential information for emergency response during natural disasters in near real-time. However, it is difficult to identify the disaster-related posts among the large amounts of unstructured data…

Computation and Language · Computer Science 2024-08-20 David Hanny , Sebastian Schmidt , Bernd Resch

Public concern detection provides potential guidance to the authorities for crisis management before or during a pandemic outbreak. Detecting people's concerns and attention from online social media platforms has been widely acknowledged as…

Computation and Language · Computer Science 2021-06-21 Jingli Shi , Weihua Li , Sira Yongchareon , Yi Yang , Quan Bai

In times of crisis, identifying the essential needs is a crucial step to providing appropriate resources and services to affected entities. Social media platforms such as Twitter contain vast amount of information about the general public's…

Computation and Language · Computer Science 2020-12-21 M. Janina Sarol , Ly Dinh , Rezvaneh Rezapour , Chieh-Li Chin , Pingjing Yang , Jana Diesner

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.…

Computers and Society · Computer Science 2018-05-17 Firoj Alam , Shafiq Joty , Muhammad Imran
‹ Prev 1 2 3 10 Next ›