Search Results for author: Esteban Feuerstein

Found 3 papers, 0 papers with code

Improved Topic modeling in Twitter through Community Pooling

no code implementations20 Dec 2021 Federico Albanese, Esteban Feuerstein

Social networks play a fundamental role in propagation of information and news.

Retrieval

Breaking the Communities: Characterizing community changing users using text mining and graph machine learning on Twitter

no code implementations24 Aug 2020 Federico Albanese, Leandro Lombardi, Esteban Feuerstein, Pablo Balenzuela

With this data, we present a machine learning framework for social media users classification which detects "community breakers", i. e. users that swing from their closed community to another one.

BIG-bench Machine Learning Feature Importance

Vocabulary-based Method for Quantifying Controversy in Social Media

no code implementations14 Jan 2020 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 better discussion contexts and reaching agreements in the best cases.

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