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Twitter as a tool for the management and analysis of emergency situations: A systematic literature review
The importance of timely, accurate and effective use of available information is essential to
the proper management of emergency situations. In recent years, emerging technologies …
the proper management of emergency situations. In recent years, emerging technologies …
[HTML][HTML] Social media sentiment analysis and opinion mining in public security: Taxonomy, trend analysis, issues and future directions
The interest in social media sentiment analysis and opinion mining for public security events
has increased over the years. The availability of social media platforms for communication …
has increased over the years. The availability of social media platforms for communication …
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 …
Learning spatial-temporal regularized correlation filters for visual tracking
Abstract Discriminative Correlation Filters (DCF) are efficient in visual tracking but suffer from
unwanted boundary effects. Spatially Regularized DCF (SRDCF) has been suggested to …
unwanted boundary effects. Spatially Regularized DCF (SRDCF) has been suggested to …
[ΒΙΒΛΙΟ][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 …
Thou shalt not hate: Countering online hate speech
Hate content in social media is ever increasing. While Facebook, Twitter, Google have
attempted to take several steps to tackle the hateful content, they have mostly been …
attempted to take several steps to tackle the hateful content, they have mostly been …
An ALBERT-based TextCNN-Hatt hybrid model enhanced with topic knowledge for sentiment analysis of sudden-onset disasters
Sudden-onset disasters put forward new requirements for on the state authorities' ability to
analyze public opinion sentiment. However, traditional sentiment analysis methods ignore …
analyze public opinion sentiment. However, traditional sentiment analysis methods ignore …
Mitigating information overload in social media during conflicts and crises: Design and evaluation of a cross-platform alerting system
The research field of crisis informatics examines, amongst others, the potentials and barriers
of social media use during conflicts and crises. Social media allow emergency services to …
of social media use during conflicts and crises. Social media allow emergency services to …
Rapid relevance classification of social media posts in disasters and emergencies: A system and evaluation featuring active, incremental and online learning
The research field of crisis informatics examines, amongst others, the potentials and barriers
of social media use during disasters and emergencies. Social media allow emergency …
of social media use during disasters and emergencies. Social media allow emergency …
Automated machine learning approaches for emergency response and coordination via social media in the aftermath of a disaster: A review
Social media communication serves as an integral part of the crisis response following a
mass emergency (disaster) event. Regardless of the kind of disaster event, whether it is a …
mass emergency (disaster) event. Regardless of the kind of disaster event, whether it is a …