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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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Andrea Calvagna, Emiliano Tramontana and Gabriella Verga
Social media networks provide an aggregation of news and content, allowing users to share and discuss topics of greatest interest to them. Users can enrich the news by providing context and opinions that are useful to other users. Understanding topics of...
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David Hanny and Bernd Resch
With the vast amount of social media posts available online, topic modeling and sentiment analysis have become central methods to better understand and analyze online behavior and opinion. However, semantic and sentiment analysis have rarely been combine...
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Eike Blomeier, Sebastian Schmidt and Bernd Resch
In the early stages of a disaster caused by a natural hazard (e.g., flood), the amount of available and useful information is low. To fill this informational gap, emergency responders are increasingly using data from geo-social media to gain insights fro...
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Azizah Assiri and Hassen Sallay
Opportunistic mobile social networks (OMSNs) have become increasingly popular in recent years due to the rise of social media and smartphones. However, message forwarding and sharing social information through intermediary nodes on OMSNs raises privacy c...
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Ancilon Leuch Alencar, Marcelo Dornbusch Lopes, Anita Maria da Rocha Fernandes, Julio Cesar Santos dos Anjos, Juan Francisco De Paz Santana and Valderi Reis Quietinho Leithardt
In the current era of social media, the proliferation of images sourced from unreliable origins underscores the pressing need for robust methods to detect forged content, particularly amidst the rapid evolution of image manipulation technologies. Existin...
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Hamed Taherdoost
Network analysis aids management in reducing overall expenditures and maintenance workload. Social media platforms frequently use neural networks to suggest material that corresponds with user preferences. Machine learning is one of many methods for soci...
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Marco Vernier, Manuela Farinosi, Alberto Foresti and Gian Luca Foresti
In recent years, social platforms have become integrated in a variety of economic, political and cultural domains. Social media have become the primary outlets for many citizens to consume news and information, and, at the same time, to produce and share...
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Antonio Baraybar-Fernández, Sandro Arrufat-Martín and Rainer Rubira-García
The aim of the study is to analyze the communication management strategies of the top 40 hotel companies, in terms of turnover, using their corporate accounts on social networks during the Easter holiday campaign in 2021 and 2022. By using apps such as ?...
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Omar Adel, Karma M. Fathalla and Ahmed Abo ElFarag
Emotion recognition is crucial in artificial intelligence, particularly in the domain of human?computer interaction. The ability to accurately discern and interpret emotions plays a critical role in helping machines to effectively decipher users? underly...
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