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Location reference recognition from texts: A survey and comparison
A vast amount of location information exists in unstructured texts, such as social media
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …
Characterizing the propagation of situational information in social media during covid-19 epidemic: A case study on weibo
During the ongoing outbreak of coronavirus disease (COVID-19), people use social media
to acquire and exchange various types of information at a historic and unprecedented scale …
to acquire and exchange various types of information at a historic and unprecedented scale …
Social media in operations and supply chain management: State-of-the-Art and research directions
Recently, industrial and academic communities in the operations and supply chain
management (OSCM) field are paying increasing attention to social media. However, the …
management (OSCM) field are paying increasing attention to social media. However, the …
[HTML][HTML] Improving crisis events detection using distilbert with hunger games search algorithm
This paper presents an alternative event detection model based on the integration between
the DistilBERT and a new meta-heuristic technique named the Hunger Games Search …
the DistilBERT and a new meta-heuristic technique named the Hunger Games Search …
A social media event detection framework based on transformers and swarm optimization for public notification of crises and emergency management
Social media allows the spread of vital information regarding crises and emergencies. Thus,
emergency management systems can benefit from social media because they can be used …
emergency management systems can benefit from social media because they can be used …
[HTML][HTML] CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts
Social media platforms play an essential role in crisis communication, but analysing crisis-
related social media texts is challenging due to their informal nature. Transformer-based pre …
related social media texts is challenging due to their informal nature. Transformer-based pre …
A stacked convolutional neural network for detecting the resource tweets during a disaster
S Madichetty - Multimedia tools and applications, 2021 - Springer
Social media platform like Twitter is one of the primary sources for sharing real-time
information at the time of events such as disasters, political events, etc. Detecting the …
information at the time of events such as disasters, political events, etc. Detecting the …
A natural language processing approach to understanding context in the extraction and geocoding of historical floods, storms, and adaptation measures
Despite the known financial, economical, and humanitarian impacts of hurricanes and the
floods that follow, datasets consisting of flood and flood risk reduction projects are either …
floods that follow, datasets consisting of flood and flood risk reduction projects are either …
Semiautomated social media analytics for sensing societal impacts due to community disruptions during disasters
Understanding the societal impacts caused by community disruptions (eg, power outages
and road closures), particularly during the response stage, with timeliness and sufficient …
and road closures), particularly during the response stage, with timeliness and sufficient …
A neural-based approach for detecting the situational information from Twitter during disaster
Twitter is widely considered an essential social media used during a disaster. For the past
five years, there has been a great surge in the use of Twitter during the disaster. A large …
five years, there has been a great surge in the use of Twitter during the disaster. A large …