Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Applications of artificial intelligence for disaster management
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …
socioeconomic loss. The actual damage and loss observed in the recent decades has …
Processing social media messages in mass emergency: A survey
Social media platforms provide active communication channels during mass convergence
and emergency events such as disasters caused by natural hazards. As a result, first …
and emergency events such as disasters caused by natural hazards. As a result, first …
Crisismmd: Multimodal twitter datasets from natural disasters
During natural and man-made disasters, people use social media platforms such as Twitter
to post textual and multimedia content to report updates about injured or dead people …
to post textual and multimedia content to report updates about injured or dead people …
[HTML][HTML] Using artificial intelligence to identify emergency messages on social media during a natural disaster: A deep learning approach
CJ Powers, A Devaraj, K Ashqeen, A Dontula… - International Journal of …, 2023 - Elsevier
During natural disasters, emergency communication systems become overloaded, and
people are forced to turn to social media to make requests for help. This study employs …
people are forced to turn to social media to make requests for help. This study employs …
[KIRJA][B] Big crisis data: social media in disasters and time-critical situations
C Castillo - 2016 - books.google.com
Social media is an invaluable source of time-critical information during a crisis. However,
emergency response and humanitarian relief organizations that would like to use this …
emergency response and humanitarian relief organizations that would like to use this …
Social media analytics for natural disaster management
Social media analytics has become prominent in natural disaster management. In spite of a
large variety of metadata fields in social media data, four dimensions (ie space, time, content …
large variety of metadata fields in social media data, four dimensions (ie space, time, content …
Twitter topic classification
Social media platforms host discussions about a wide variety of topics that arise everyday.
Making sense of all the content and organising it into categories is an arduous task. A …
Making sense of all the content and organising it into categories is an arduous task. A …
Crisislex: A lexicon for collecting and filtering microblogged communications in crises
Locating timely, useful information during crises and mass emergencies is critical for those
forced to make potentially life-altering decisions. As the use of Twitter to broadcast useful …
forced to make potentially life-altering decisions. As the use of Twitter to broadcast useful …
An overview of sentiment analysis in social media and its applications in disaster relief
Sentiment analysis refers to the class of computational and natural language processing
based techniques used to identify, extract or characterize subjective information, such as …
based techniques used to identify, extract or characterize subjective information, such as …
[HTML][HTML] Geographic situational awareness: mining tweets for disaster preparedness, emergency response, impact, and recovery
Social media data have emerged as a new source for detecting and monitoring disaster
events. A number of recent studies have suggested that social media data streams can be …
events. A number of recent studies have suggested that social media data streams can be …