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Chapter and Conference Paper
Multi-dimensional Classification on Social Media Data for Detailed Reporting with Large Language Models
Every day, more and more people harness the power of social media platforms to express their thoughts, share information and personal experiences, and engage with others. All this knowledge can then be transfo...
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Chapter and Conference Paper
Unmasking COVID-19 False Information on Twitter: A Topic-Based Approach with BERT
Every day, many people use social media platforms to share information, thoughts, narratives and personal experiences. The vast volume of user-generated content offers valuable insights into the latest news an...
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Chapter and Conference Paper
Topic Detection and Tracking in Social Media Platforms
The large amount of information available on the Web can be effectively exploited in several domains, ranging from opinion mining to the analysis of human dynamics and behaviors. Specifically, it can be levera...
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Chapter and Conference Paper
Cloud Computing for Enabling Big Data Analysis
Every day billions of people access web sites, blogs, and social media. Often they use their mobile devices and produce huge amount of data that can be effectively exploited for extracting valuable information...
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Chapter and Conference Paper
Develo** a Cloud-Based Algorithm for Analyzing the Polarization of Social Media Users
Social media analysis is a fast growing research area aimed at extracting useful information from social media. Several opinion mining techniques have been developed for capturing the mood of social media user...
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Chapter and Conference Paper
Discovering Travelers’ Purchasing Behavior from Public Transport Data
In recent years, the demand for collective mobility services is characterized by a significant growth. The long-distance coach market has undergone an important change in Europe since FlixBus adopted a dynamic...
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Chapter and Conference Paper
A Novel Data-Centric Programming Model for Large-Scale Parallel Systems
This paper presents the main features and the programming constructs of the DCEx programming model designed for the implementation of data-centric large-scale parallel applications on Exascale computing platforms...
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Chapter and Conference Paper
Appraising SPARK on Large-Scale Social Media Analysis
Software systems for social media analysis provide algorithms and tools for extracting useful knowledge from user-generated social media data. ParSoDA (Parallel Social Data Analytics) is a Java library for dev...
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Chapter and Conference Paper
Geocon: A Middleware for Location-Aware Ubiquitous Applications
A core functionality of any location-aware ubiquitous system is storing, indexing, and retrieving information about entities that are commonly involved in these scenarios, such as users, places, events and oth...
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Chapter and Conference Paper
Using Clouds for Scalable Knowledge Discovery Applications
Cloud platforms provide scalable processing and data storage and access services that can be exploited for implementing high-performance knowledge discovery systems and applications. This paper discusses the u...
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Chapter and Conference Paper
Enabling Cloud Interoperability with COMPSs
The advent of Cloud computing has given to researchers the ability to access resources that satisfy their growing needs, which could not be satisfied by traditional computing resources such as PCs and locally ...