World's Best Scientists 2026 revealed!

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Computer Science

D-Index
49
Citations
29960
World Ranking
5738
National Ranking
130

Overview

Fabrizio Sebastiani is affiliated with the Institute of Information Science and Technologies in Italy. Their research primarily spans the domain of Computer Science, with a strong focus on Artificial Intelligence. The subfields of their work include Nuclear and High Energy Physics, Information Systems, General Social Sciences, and Sociology and Political Science.

The scientist's research topics cover a broad range of areas, including:

  • Topic Modeling
  • Text and Document Classification Technologies
  • Machine Learning and Data Classification
  • Authorship Attribution and Profiling
  • Natural Language Processing Techniques
  • Imbalanced Data Classification Techniques
  • Sentiment Analysis and Opinion Mining

Fabrizio Sebastiani has collaborated frequently with several co-authors, including:

  • Alejandro Moreo
  • Andrea Esuli
  • Mirko Bunse
  • Silvia Corbara
  • Alessandro Fabris

The scientist's recent publications illustrate their contributions to quantification and sentiment analysis research. Selected papers include:

  • "Cross-Lingual Sentiment Quantification", 2020, IEEE Intelligent Systems
  • "Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach", 2023, ArTS Archivio della ricerca di Trieste (University of Trieste)
  • "Tweet sentiment quantification: An experimental re-evaluation", 2022, PLoS ONE
  • "A Critical Reassessment of the Saerens-Latinne-Decaestecker Algorithm for Posterior Probability Adjustment", 2020, ACM Transactions on Information Systems
  • "QuaPy: A Python-Based Framework for Quantification", 2021, Zenodo (CERN European Organization for Nuclear Research)

The scientist frequently publishes in venues including:

  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • ACM SIGIR Forum
  • ACM Transactions on Knowledge Discovery from Data
  • Data Mining and Knowledge Discovery

Their book publications appear with several publishers, such as:

  • Springer Science+Business Media, including titles like "Advances in Information Retrieval" (2021) and "Experimental IR Meets Multilinguality, Multimodality, and Interaction" (2022)
  • The "information retrieval series" with the book "Learning to Quantify" (2023)
  • European Organization for Nuclear Research, including the "Proceedings of the 3rd International Workshop on Learning to Quantify (LQ 2023)"

Best Publications

  • Machine learning in automated text categorization

    Fabrizio Sebastiani

  • SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining.

    Stefano Baccianella;Andrea Esuli;Fabrizio Sebastiani

  • SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining

    Andrea Esuli;Fabrizio Sebastiani

  • SemEval-2016 Task 4: Sentiment Analysis in Twitter

    Preslav Nakov;Alan Ritter;Sara Rosenthal;Fabrizio Sebastiani

  • Determining the semantic orientation of terms through gloss classification

    Andrea Esuli;Fabrizio Sebastiani

  • Supervised term weighting for automated text categorization

    Franca Debole;Fabrizio Sebastiani

  • Determining Term Subjectivity and Term Orientation for Opinion Mining

    Andrea Esuli;Fabrizio Sebastiani

  • A Tutorial on Automated Text Categorisation

    Fabrizio Sebastiani

  • A model of multimedia information retrieval

    Carlo Meghini;Fabrizio Sebastiani;Umberto Straccia

  • A learner-independent evaluation of the usefulness of statistical phrases for automated text categorization

    Maria Fernanda Caropreso;Stan Matwin;Fabrizio Sebastiani

  • Experiments on the Use of Feature Selection and Negative Evidence in Automated Text Categorization

    Luigi Galavotti;Fabrizio Sebastiani;Maria Simi

  • An analysis of the relative hardness of Reuters‐21578 subsets

    Franca Debole;Fabrizio Sebastiani

  • Evaluation Measures for Ordinal Regression

    Stefano Baccianella;Andrea Esuli;Fabrizio Sebastiani

  • SentiWordNet: A High-Coverage Lexical Resource for Opinion Mining

    Andrea Esuli;Fabrizio Sebastiani

  • PageRanking WordNet Synsets: An Application to Opinion Mining

    Andrea Esuli;Fabrizio Sebastiani

  • Automatic Web Page Categorization by Link and Context Analysis

    Giuseppe Attardi;A. Gullì;F. Sebastiani

  • Multi-facet Rating of Product Reviews

    Stefano Baccianella;Andrea Esuli;Fabrizio Sebastiani

  • A model of information retrieval based on a terminological logic

    Carlo Meghini;Fabrizio Sebastiani;Umberto Straccia;Costantino Thanos

  • A probabilistic terminological logic for modelling information retrieval

    Fabrizio Sebastiani

  • Determining the semantic orientation of terms through gloss analysis

    Andrea Esuli;Fabrizio Sebastiani

Frequent Co-Authors

Andrea Esuli
Andrea Esuli Institute of Information Science and Technologies
Umberto Straccia
Umberto Straccia National Research Council (CNR)
Alessandro Sperduti
Alessandro Sperduti University of Padua
Fabrizio Silvestri
Fabrizio Silvestri Sapienza University of Rome
Preslav Nakov
Preslav Nakov Mohamed bin Zayed University of Artificial Intelligence
Alessandro Saffiotti
Alessandro Saffiotti Örebro University
Douglas W. Oard
Douglas W. Oard University of Maryland, College Park
Bernardo Magnini
Bernardo Magnini Fondazione Bruno Kessler

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