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Yalin Yang, Yanan Wu and May Yuan
In-person social events bring people to places, while people and places influence where and what social events occur. Knowing what people do and where they build social relationships gives insights into the distribution and availability of places for soc...
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Yupei Shu, Xu Chen and Xuan Di
This paper aims to use location-based social media data to infer the impact of the Russia?Ukraine war on human mobility. We examine the impact of the Russia?Ukraine war on changes in human mobility in terms of the spatial range of check-in locations usin...
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José Francisco León-Cruz, David Romero and Hugo Ignacio Rodríguez-García
The spatial and temporal changes in social vulnerability to natural hazards in Mexico are analyzed. To this end, using census data from 2000, 2010, and 2020, and a statistical method, different indices were computed, and with a GIS-based approach, patter...
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Nikola Vuksanovic, Dunja Demirovic Bajrami, Marko D. Petrovic, Milan M. Radovanovic, Slavica Malinovic-Milicevic, Adriana Radosavac, Valentina Obradovic and Maja Ergovic Ravancic
Local producers constitute a crucial segment of the local economy, playing a pivotal role in driving rural development and the progress of tourism. Their avenues for showcasing products extend beyond markets, bazaars, or food events, often being integrat...
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Andra Sandu, Liviu-Adrian Cotfas, Aurelia Stanescu and Camelia Delcea
Natural language processing (NLP) plays a pivotal role in modern life by enabling computers to comprehend, analyze, and respond to human language meaningfully, thereby offering exciting new opportunities. As social media platforms experience a surge in g...
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Hao Liu, Bo Yang and Zhiwen Yu
Multimodal sarcasm detection is a developing research field in social Internet of Things, which is the foundation of artificial intelligence and human psychology research. Sarcastic comments issued on social media often imply people?s real attitudes towa...
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Barbara Cardone, Ferdinando Di Martino and Vittorio Miraglia
The application of sentiment analysis approaches to information flows extracted from the social networks connected to particular critical periods generated by pandemic, climatic and extreme environmental phenomena allow the decision maker to detect the e...
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Hanan M. Alghamdi
Sentiment analysis plays a crucial role in understanding public opinion and social media trends. It involves analyzing the emotional tone and polarity of a given text. When applied to Arabic text, this task becomes particularly challenging due to the lan...
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Jaehyun Shin and Dong Sop Rhee
As the frequency and intensity of natural and social disasters increase due to climate change, damage caused by disasters affects urban areas and facilities. Of those disasters, inundation occurs in urban areas due to rising water surface elevation becau...
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Huda Lughbi, Mourad Mars and Khaled Almotairi
The pervasive reach of social media like the X platform, formerly known as Twitter, offers unique opportunities for real-time analysis of cyberattack developments. By parsing and classifying tweets related to cyberattacks, we can glean valuable insights ...
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