7 Result(s)
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Article
Open AccessBlock size estimation for data partitioning in HPC applications using machine learning techniques
The extensive use of HPC infrastructures and frameworks for running data-intensive applications has led to a growing interest in data partitioning techniques and strategies. In fact, application performance ca...
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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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Article
Open AccessAnalyzing voter behavior on social media during the 2020 US presidential election campaign
Every day millions of people use social media platforms by generating a very large amount of opinion-rich data, which can be exploited to extract valuable information about human dynamics and behaviors. In thi...
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Article
Open AccessProgramming big data analysis: principles and solutions
In the age of the Internet of Things and social media platforms, huge amounts of digital data are generated by and collected from many sources, including sensors, mobile devices, wearable trackers and security...
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Article
Open AccessUsing 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 Detection on sOcial Media During Disasters...
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Article
ParSoDA: high-level parallel programming for social data mining
Software systems for social data mining provide algorithms and tools for extracting useful knowledge from user-generated social media data. ParSoDA (Parallel Social Data Analytics) is a high-level library for ...
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Article
Analyzing polarization of social media users and news sites during political campaigns
Social media analysis is a fast growing research area aimed at extracting useful information from social networks. Recent years have seen a great interest from academic and business world in using social media...
