activity
20122024
most citedArtificial Intelligence in Clinical Health Care Applications: Viewpoint

126 citations · 262 across the 19 of their papers we have counts for

collaborators

19 papers

cs.CE2024★ 21 cited

Sentiment Analysis of Economic Text: A Lexicon-Based Approach

Luca Barbaglia, Sergio Consoli, Sebastiano Manzan +2

We propose an Economic Lexicon (EL) specifically designed for textual applications in economics. We construct the dictionary with two important characteristics: 1) to have a wide c…

cs.IR2024★ 4 cited

Triplètoile: Extraction of Knowledge from Microblogging Text

Vanni Zavarella, Sergio Consoli, Diego Reforgiato Recupero +5

Numerous methods and pipelines have recently emerged for the automatic extraction of knowledge graphs from documents such as scientific publications and patents. However, adapting…

cs.CY2024

Beyond the Headlines: Understanding Sentiments and Morals Impacting Female Employment in Spain

Oscar Araque, Luca Barbaglia, Francesco Berlingieri +5

After decades of improvements in the employment conditions of females in Spain, this process came to a sudden stop with the Great Spanish Recession of 2008. In this contribution, w…

cs.DL2024★ 6 cited

Cultural gems linked open data: Mapping culture and intangible heritage in European cities

Sergio Consoli, Valentina Alberti, Cinzia Cocco +2

The recovery and resilience of the cultural and creative sectors after the COVID-19 pandemic is a current topic with priority for the European Commission. Cultural gems is a crowds…

cs.CE2024★ 18 cited

Forecasting GDP in Europe with Textual Data

Luca Barbaglia, Sergio Consoli, Sebastiano Manzan

We evaluate the informational content of news-based sentiment indicators for forecasting Gross Domestic Product (GDP) and other macroeconomic variables of the five major European e…

cs.CE2022

Forecasting with Economic News

Luca Barbaglia, Sergio Consoli, Sebastiano Manzan

The goal of this paper is to evaluate the informational content of sentiment extracted from news articles about the state of the economy. We propose a fine-grained aspect-based sen…