Federico Alberto Pozzi, Ph.D.
Federico Alberto Pozzi, Ph.D.
SAS Institute, Italy
Verified email at disco.unimib.it
Title
Cited by
Cited by
Year
Sentiment analysis: Bayesian ensemble learning
E Fersini, E Messina, FA Pozzi
Decision support systems 68, 26-38, 2014
1442014
sentiment analysis in social networks
FA Pozzi, E Fersini, E Messina, B Liu
Morgan Kaufmann 1, 256, 2016
1002016
Expressive signals in social media languages to improve polarity detection
E Fersini, E Messina, FA Pozzi
Information Processing & Management 52 (1), 20-35, 2016
482016
Detecting irony and sarcasm in microblogs: The role of expressive signals and ensemble classifiers
E Fersini, FA Pozzi, E Messina
2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015
372015
Enhance user-level sentiment analysis on microblogs with approval relations
FA Pozzi, D Maccagnola, E Fersini, E Messina
Congress of the Italian Association for Artificial Intelligence, 133-144, 2013
312013
Challenges of sentiment analysis in social networks: An overview
FA Pozzi, E Fersini, E Messina, B Liu
Sentiment analysis in social networks, 1-11, 2017
242017
Approval network: a novel approach for sentiment analysis in social networks
E Fersini, FA Pozzi, E Messina
World Wide Web 20 (4), 831-854, 2017
172017
Earthquake management: a decision support system based on natural language processing
E Fersini, E Messina, FA Pozzi
Journal of Ambient Intelligence and Humanized Computing, 1--9, 2016
172016
Bayesian model averaging and model selection for polarity classification
FA Pozzi, E Fersini, E Messina
International Conference on Application of Natural Language to Information …, 2013
162013
Enhance Polarity Classification on Social Media through Sentiment-based Feature Expansion.
FA Pozzi, E Fersini, E Messina, D Blanc
WOA@ AI* IA 1099, 78-84, 2013
72013
Subjectivity, polarity and irony detection: a multi-layer approach
E Fersini, E Messina, FA Pozzi, V Sarca
Proceedings of the First Italian Conference on Computational Linguistics …, 2014
22014
Probabilistic Relational Models for Sentiment Analysis in Social Networks
F Pozzi
Università degli Studi di Milano-Bicocca, 2015
12015
Conclusion and Future Directions
FA Pozzi, E Fersini, E Messina, B Liu
Sentiment Analysis in Social Networks, 239-241, 2017
2017
Sentiment Analysis in Microblogs
F Pozzi, E Fersini, V Messina
Albury Books, 2016
2016
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Articles 1–14