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CARMA 2024 - 6th International Conference on Advanced Research Methods and Analytics
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CARMA 2024 - 6th International Conference on Advanced Research Methods and Analytics: Enviados recientemente

Mostrando ítems 21-25 de 46

In What is Europe Investing? A Text Mining Approach on Cohesion Projects

Caravaggio, Nicola; Di Renzo, Giuseppe; Fanelli, Laura; Resce, Giuliano; Santangelo, Agapito Emanuele (Editorial Universitat Politècnica de València, 2024-07-16)

[EN] In this Paper we analyze the dynamics of the interventions of European cohesion policies in the Italian territory - according to a regional division - focusing on the topics financed, extracted through text mining, ...
Read between the headlines: Can news data predict inflation?

Arcin, Alan Chester; Guliman, Ma. Ellysah Joy; Centeno, Genna Paola; Herbo, Jacqueline Margaux; Parmanand, Sanjeev; Mapa, Cherrie (Editorial Universitat Politècnica de València, 2024-07-16)

[EN] Big data and machine learning applications are increasingly gaining traction in central bank operations. Among8 others, central banks have tapped big data in their nowcasting exercises. In this study, we construct ...
Structuring and extracting sustainability information from corporate websites SMEs: A pilot test on textile firms

Rodríguez-Ruiz, Francisco; Garcia-Bernabeu, Ana (Editorial Universitat Politècnica de València, 2024-07-16)

[EN] In recent years, heightened awareness of environmental, social, and governance (ESG) issues has spurred a growing demand for sustainability-related data. While large corporations progress towards disclosing non-financial ...
Vaccine voices in the digital sphere: a multilayer network analysis of online forum discussion in Taiwan

Yin, Jason (Editorial Universitat Politècnica de València, 2024-07-16)

[EN] New spatiotemporal considerations of the network allow surveillance of vaccine opinion online. The study uses a multilayer network – with each layer representing vaccine opinion discussion – to examine how the structure ...
Unlocking the Potential of Machine Learning in Portfolio Selection: A Hybrid Approach with Genetic Optimization

Alzaman, Chaher (Editorial Universitat Politècnica de València, 2024-07-16)

[EN] In the field of financial market predictions, machine learning has been widely used to identify patterns and gain valuable insights. However, for success in portfolio selection, it is crucial to optimize factors that ...