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Federico Albanese
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2020 – today
- 2024
- [i7]Abi Oppenheim, Federico Albanese, Esteban Feuerstein:
Investigating the Relationship Between User Specialization and Toxicity on Reddit: A Sentiment Analysis Approach. CoRR abs/2406.03443 (2024) - [i6]Federico Albanese, Esteban Feuerstein, Pablo Balenzuela:
Polarization dynamics: a study of individuals shifting between political communities on social media. CoRR abs/2408.07731 (2024) - 2023
- [c2]Federico Albanese, Esteban Feuerstein, Leandro Lombardi, Pablo Balenzuela:
Characterizing Community Changing Users using Text Mining and Graph Machine Learning on Twitter. AMW 2023 - [i5]Federico Albanese, Daniel Ciolek, Nicolás D'Ippolito:
Text Sanitization Beyond Specific Domains: Zero-Shot Redaction & Substitution with Large Language Models. CoRR abs/2311.10785 (2023) - 2022
- [i4]Federico Albanese, Esteban Feuerstein:
Improved Topic modeling in Twitter through Community Pooling. CoRR abs/2201.00690 (2022) - 2021
- [c1]Federico Albanese
, Esteban Feuerstein
Improved Topic Modeling in Twitter Through Community Pooling. SPIRE 2021: 209-216 - 2020
- [i3]Federico Albanese, Leandro Lombardi, Esteban Feuerstein, Pablo Balenzuela:
Predicting Shifting Individuals Using Text Mining and Graph Machine Learning on Twitter. CoRR abs/2008.10749 (2020)
2010 – 2019
- 2019
- [i2]Federico Albanese, Sebastián Pinto
What matters, context or sentiment?: Analysing the influence of news in U.S. elections using Natural Language Processing. CoRR abs/1909.08095 (2019) - [i1]Federico Albanese, Claudio J. Tessone, Viktoriya Semeshenko, Pablo Balenzuela
A data-driven model for Mass Media influence in electoral context. CoRR abs/1909.10554 (2019)
Coauthor Index
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last updated on 2024-09-25 01:39 CEST by the dblp team
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