Pollacci Laura
Laura Pollacci is currently a postdoctoral researcher at the Knowledge Discovery and Data Mining Laboratory (KDDLab), a joint research group of the Information Science and Technology Institute of the National Research Council (CNR) in Pisa and the University of Pisa.
Born in Viareggio (LU) in Italy on 28th April 1988, she studied arts and graphics at the Liceo Artistico Passaglia of Lucca in the Experimental and Visual Ambiental course. In 2015 and 2014, she graduated cum laude in Digital Humanities (MS and BS) at the University of Pisa. Both theses have been developed in the Computational Linguistics area at CoLingLab (Computational Linguistic Laboratory). She received a Ph.D. in Computer Science with a thesis on the conjunct usage of Big Data and Sentiment Analysis for the study of Human Migration in the same institution. Her research interests lie in the area of Social Network Analysis and Visual Analytics for Social Mining, Human Migration, and Sentiment Analysis.
Topics:
Sentiment Analysis
Human Migration
Emotion Detection
Social Network Analysis
Visual Analytics
2014 Bachelor Degree in Digital Humanities at University of Pisa with 110/110 cum laude
2015 Master Degree in Digital Humanities at University of Pisa with 110/110 cum laude
2019 PhD in Computer Science at University of Pisa
“Data beats emotions.” – Sean Rad
“In God we trust. All others must bring data.” – W. Edwards Deming
“The world is one big data problem.” – Andrew McAfee
“Torture the data, and it will confess to anything.” – Ronald Coase
- Position
- Research Fellow
- Affiliation
- Department of Computer Science, University of Pisa (DI-UNIPI)
- Room
- C43
- Floor
- 1
- Gate
- Building B, Gate 20
- Phone
- +39 050 6212994
- Skype
- laurapollacci
- Homepage
- Google Scholar
- Laura Pollacci on Google Scholar
- DBLP
- Laura Pollacci on DBLP
- Laura Pollacci on LinkedIn
Projects
Publications
2021
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, “Toward a Standard Approach for Echo Chamber Detection: Reddit Case Study”, Applied Sciences, vol. 11, p. 5390, 2021.
2020
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, “Human migration: the big data perspective”, International Journal of Data Science and Analytics, pp. 1–20, 2020.
2018
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, “The Fractal Dimension of Music: Geography, Popularity and Sentiment Analysis”, in International Conference on Smart Objects and Technologies for Social Good, 2018.
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, “The italian music superdiversity”, Multimedia Tools and Applications, pp. 1–23, 2018.
2017
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, “Sentiment Spreading: An Epidemic Model for Lexicon-Based Sentiment Analysis on Twitter”, in Conference of the Italian Association for Artificial Intelligence, 2017.
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, “The Fractal Dimension of Music: Geography, Popularity and Sentiment Analysis”, in International Conference on Smart Objects and Technologies for Social Good, 2017.
2016
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, ““Are we playing like Music-Stars?” Placing Emerging Artists on the Italian Music Scene”, 9th International Workshop on Machine Learning and Music, ECML-PKDD. Riva del Garda, 2016.
2015
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, “ItEM: A Vector Space Model to Bootstrap an Italian Emotive Lexicon”, Second Italian Conference on Computational Linguistics CLiC-it 2015, vol. II, 2 vol. 2015.
2014
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, “The CoLing Lab system for Sentiment Polarity Classification of tweets”, First Italian Conference on Computational Linguistics CLiC-it 2014 & Fourth International Workshop EVALITA 2014, vol. II, 2 vol. 2014.
Blog
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