Over a decade of social opinion mining: a systematic review
Social media popularity and importance is on the increase due to people using it for various
types of social interaction across multiple channels. This systematic review focuses on the …
types of social interaction across multiple channels. This systematic review focuses on the …
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 …
Applying machine learning and geolocation techniques to social media data (Twitter) to develop a resource for urban planning
With all the recent attention focused on big data, it is easy to overlook that basic vital
statistics remain difficult to obtain in most of the world. What makes this frustrating is that …
statistics remain difficult to obtain in most of the world. What makes this frustrating is that …
A systematic literature review on the use of big data analytics in humanitarian and disaster operations
At the start of this review, 168 million individuals required humanitarian assistance, at the
conclusion of the research, the number had risen to 235 million. Humanitarian aid is critical …
conclusion of the research, the number had risen to 235 million. Humanitarian aid is critical …
Comparison of different machine learning techniques on location extraction by utilizing geo-tagged tweets: A case study
In emergencies, Twitter is an important platform to get situational awareness simultaneously.
Therefore, information about Twitter users' location is a fundamental aspect to understand …
Therefore, information about Twitter users' location is a fundamental aspect to understand …
[HTML][HTML] Community perspectives to improve flood management and socio-economic impacts of floods at Central Indus River, Pakistan
Pakistan suffers from floods in the main rivers of the Indus River System due to disturbed
weather patterns during monsoon and snowmelt. The study aims to identify the community …
weather patterns during monsoon and snowmelt. The study aims to identify the community …
Bridging the information gap of disaster responders by optimizing data selection using cost and quality
M van den Homberg, R Monné, M Spruit - Computers & geosciences, 2018 - Elsevier
Natural disasters are chaotic and disruptive events, with compressed timelines and high
levels of uncertainty. Comprehensive data on the impact becomes only available well into …
levels of uncertainty. Comprehensive data on the impact becomes only available well into …
Using social media for sub-event detection during disasters
Social media platforms have become fundamental tools for sharing information during
natural disasters or catastrophic events. This paper presents SEDOM-DD (Sub-Events …
natural disasters or catastrophic events. This paper presents SEDOM-DD (Sub-Events …
Beyond sound level monitoring: Exploitation of social media to gather citizens subjective response to noise
Subjective response to noise is probably the most important goal in environmental
acoustics. Traditional surveys have the drawback of high cost deriving from its development …
acoustics. Traditional surveys have the drawback of high cost deriving from its development …
Flood relevance estimation from visual and textual content in social media streams
A Moumtzidou, S Andreadis, I Gialampoukidis… - … Proceedings of the The …, 2018 - dl.acm.org
Disaster monitoring based on social media posts has raised a lot of interest in the domain of
computer science the last decade, mainly due to the wide area of applications in public …
computer science the last decade, mainly due to the wide area of applications in public …