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<!DOCTYPE HTML>
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<title>LP | Research</title>
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<h1>Research</h1>
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<p>I am a researcher at the Department of Computer Science, University of Pisa, and a member of the Knowledge Discovery and
Data Mining Laboratory (KDD Lab), a joint group with CNR-ISTI in Pisa.
With a background in Digital Humanities (BS and MS, both cum laude) and a PhD in Computer Science—building on work at the
CoLingLab—my research sits at the intersection of Natural Language Processing, text analytics, and computational social science.
<br />I design machine learning and explainable methods and large-scale language pipelines to analyse opinions and behaviours,
with a particular focus on human migration; my PhD explored how Big Data and sentiment analysis can be combined to study
migration flows.<br />
I have contributed to several Horizon 2020 projects (SoBigData, SoBigData++, HumMingBird, MeMind) and I am currently
involved in SoBigData.it.<br />
I have also been the course holder of the Text Analytics course in the MSc programmes in Digital Humanities and in Data
Science and Business Informatics at the University of Pisa.</p>
<a class="button" href="publications.html">Publications</a>
<hr class="major" />
<h2>Thesis Supervision</h2>
<ul>
<li><strong>Melasi, Fabio</strong> — <em>POPOLARE: A Populism and Polarization Classification Framework for Italian Texts</em>. <span>Corso di studi:</span> Data Science and Business Informatics.</li>
<li><strong>Coda-Giorgio, Luca</strong> — <em>SIMVALE: A Generalizable Simulator Validation Framework Combining Embedding Clustering and Feature-Based Metrics</em>. <span>Corso di studi:</span> Data Science and Business Informatics.</li>
<li><strong>Maggio, Francesco</strong> — <em>BISON: predizione del successo interpretabile nei contenuti basati su NFT in Blockchain Online Social Media</em>. <span>Corso di studi:</span> Informatica Umanistica.</li>
<li><strong>Vasta, Marco</strong> — <em>Cloud-Based Data Warehousing: Migration and Reporting with SAP Datasphere and SAP Analytics Cloud</em>. <span>Corso di studi:</span> Data Science and Business Informatics.</li>
<li><strong>Gneri, Jacopo</strong> — <em>Modeling Toxic Users via Feature Extraction: An Interpretable Data-Driven Approach</em>. <span>Corso di studi:</span> Data Science and Business Informatics.</li>
<li><strong>Rossi, Martina Felicina</strong> — <em>Studio delle lacune nei modelli di fake news detection: un'indagine data-driven</em>. <span>Corso di studi:</span> Informatica Umanistica.</li>
<li><strong>Ayushi, Ayushi</strong> — <em>Design and Implementation of a Cloud-Based AI System for Automated Document Processing: Integrating Google Cloud Storage, Document AI, and Vertex AI</em>. <span>Corso di studi:</span> Data Science and Business Informatics.</li>
<li><strong>Giada, Petra</strong> — <em>CRISP-DM IF: A Specialised Framework for Improving Demand Forecasting Pipelines with ReOrder Point and Clustering</em>. <span>Corso di studi:</span> Data Science and Business Informatics.</li>
<li><strong>Di Mauro, Gianmarco</strong> — <em>LinkedIn Data: uno sguardo attraverso LinkedIn alle carriere degli alumni e delle alumnae degli atenei toscani</em>. <span>Corso di studi:</span> Informatica Umanistica.</li>
<li><strong>Ricciarelli, Gianmarco</strong> — <em>Scholarly Career Paths: Brain Drain and Exterophily</em>. <span>Corso di studi:</span> Informatica.</li>
<li><strong>Morini, Virginia</strong> — <em>Polarizzazione politica & echo chamber: una metodologia per l'identificazione e analisi su Reddit</em>. <span>Corso di studi:</span> Data Science and Business Informatics.</li>
</ul>
<a class="button" target="_blank" href="https://etd.adm.unipi.it/ETD-db/ETD-search/search_by_advisor?advisor_name=Pollacci">ETD</a>
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<li><a href="about.html">About</a></li>
<li><a href="research.html">Research</a></li>
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<li><a href="txa.html">Text Analytics</a></li>
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<h2>Get in touch</h2>
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<li class="icon solid fa-envelope">laura[dot]pollacci[at]unipi[dot]it</li>
<li class="icon solid fa-phone">+39 050 2212758</li>
<li class="icon solid fa-home">room 288 @ <a href="https://www.google.com/maps/place/Dipartimento+di+Informatica/@43.7203922,10.4082785,15z/data=!4m6!3m5!1s0x12d591bcbfe591bb:0x91d311f58e2115b6!8m2!3d43.7203922!4d10.4082785!16s%2Fg%2F1tk9b6j_?entry=ttu&g_ep=EgoyMDI1MDgxMC4wIKXMDSoASAFQAw%3D%3D" target="_blank">Dpt. of Computer Science</a>, Largo Bruno Pontecorvo 3, 56100, Pisa (PI), Italy
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