4 papers
Improved Topic modeling in Twitter through Community Pooling
Federico Albanese, Esteban Feuerstein
Social networks play a fundamental role in propagation of information and news. Characterizing the content of the messages becomes vital for different tasks, like breaking news det…
Breaking the Communities: Characterizing community changing users using text mining and graph machine learning on Twitter
Federico Albanese, Leandro Lombardi, Esteban Feuerstein +1
Even though the Internet and social media have increased the amount of news and information people can consume, most users are only exposed to content that reinforces their positio…
Vocabulary-based Method for Quantifying Controversy in Social Media
Juan Manuel Ortiz de Zarate, Esteban Feuerstein
Identifying controversial topics is not only interesting from a social point of view, it also enables the application of methods to avoid the information segregation, creating bett…
Scheduling over Scenarios on Two Machines
Esteban Feuerstein, Alberto Marchetti-Spaccamela, Frans Schalekamp +4
We consider scheduling problems over scenarios where the goal is to find a single assignment of the jobs to the machines which performs well over all possible scenarios. Each scena…