Publications

[publications, thesis, and other contents]

Google Scholar

The following list includes published papers, deliverables and other contents linked with my research.

  • Use of non-traditional data sources to nowcast migration trends through Artificial Intelligence technologies
    Goglia D., Pollacci L., Sirbu A.
    Measuring Migration Conference 2022 Conference Proceedings 42, 15.
  • Twitter data for migration studies
    Kim J. S., Pollacci L., Rossetti G., Sirbu A.,Giannotti F., Pedreschi D.
    Salah, A.A., E.E. Korkmaz, T. Bircan (eds.), Data Science for Migration and Mobility (Chapter 8), Proc. British Academy, Oxford University Press, 2022.
  • Sentiment Analysis & Emotion Detection
    Pollacci L.
    Blog post, 2022.
  • Toward a Standard Approach for Echo Chamber Detection: Reddit Case Study
    Morini, V., Pollacci L., Rossetti, G.
    Applied Sciences, 11(12), 5390. (2021).
  • Big data for migration studies: exploring superdiversity and the brain drain
    Pollacci L., A. Sirbu, L. Milli, G. Rossetti, F. Giannotti, D. Pedreschi
    Expert Workshop (abstract) @ Mind the Gap: Critical Perspectives on Migration Theories and Data, 3-4 December 2020 - Brussels.
  • Capturing political polarization of Reddit submissions in the Trump Era
    Morini, V., Pollacci L., Rossetti, G.
    SEBD 2020 - 28th Symposium on Advanced Database Systems.
  • Human migration: the Big Data perspective
    S\^irbu A., ..., Pollacci L., et. al..
    International Journal of Data Science and Analytics, pag. (1-20), Springer. DOI.
  • Understanding the Business Value of SMEs' Patent Portfolio: An Artificial Intelligence based approach - Final Report
    Di Minin A. et. al..
    Report.
  • Superdiversity: (Big) Data Analytics at the crossroads of geography, language and emotions
    Pollacci L.,
    Ph.D. thesis, 2019, link
  • The Italian Music Superdiversity. Geography, Emotion and Language: one resource to find them, one resource to rule them all
    Pollacci L., R. Guidotti, G. Rossetti, F. Giannotti, D. Pedreschi
    Journal of Multimedia Tools and Applications, 2018. DOI.
  • The Fractal Dimension of Music: Geography, Popularity and Sentiment Analysis
    Pollacci L., G. Rossetti, R. Guidotti, F. Giannotti, D. Pedreschi
    3rd EAI International Conference on Smart Objects and Technologies for Social Good, 2017. Pisa, Italy. DOI.
  • Sentiment spreading: an epidemic model for lexicon-based sentiment analysis on Twitter
    Pollacci L., A. Sîrbu, F. Giannotti, D. Pedreschi, C. Lucchese, C., C.I. Muntean
    16th International Conference of the Italian Association for Artificial Intelligence. Springer, Cham, 2017.. DOI.
  • "Are we playing like Music-Stars?" Placing Emerging Artists on the Italian Music Scene
    Pollacci L., R. Guidotti, G. Rossetti
    9th International Workshop on Machine Learning and Music (MML16), European Conference on Machine Learning and Principles and Practice of Knowledge Discovery.
  • ItEm: spazi semantici vettoriali per l'espansione semi-automatica di un lessico emotivo
    Pollacci L.
    Master thesis, 2015, link
  • Item: A vector space model to bootstrap an Italian emotive lexicon
    L. Passaro, Pollacci L., A. Lenci
    Second Italian Conference on Computational Linguistics CLiC-it 2015. Academia University Press, 2015.
  • ItEm: Italian Emotive Lexicon
    Pollacci L.
    Bachelor thesis, 2014
  • The coling lab system for sentiment polarity classification of tweets
    L. Passaro, G. Lebani, Pollacci L., E. Chersoni, A. Lenci
    EVALITA 2014. Pisa University Press, 2014. Proceedings of the Fourth International Workshop EVALITA 2014.
Copyright © Laura Pollacci. Last updated: February 04, 2023.
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