Luca Barbaglia

Orcid: 0000-0001-5930-5392

According to our database1, Luca Barbaglia authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Beyond the Headlines: Understanding Sentiments and Morals Impacting Female Employment in Spain.
CoRR, 2024

Forecasting GDP in Europe with Textual Data.
CoRR, 2024

2022
Fine-grained, aspect-based sentiment analysis on economic and financial lexicon.
Knowl. Based Syst., 2022

Forecasting with Economic News.
CoRR, 2022

On the Development of a European Tracker of Societal Issues and Economic Activities Using Alternative Data.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Tracking socio-economic activities in European countries with unconventional data.
Proceedings of the GoodIT 2022: ACM International Conference on Information Technology for Social Good, Limassol, Cyprus, September 7, 2022

2021
Financial Forecasting with Word Embeddings Extracted from News: A Preliminary Analysis.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Explaining Sentiment from Lexicon.
Proceedings of the Joint Proceedings of the 2nd International Workshop on Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP 2021) & 6th International Workshop on Explainable Sentiment Mining and Emotion Detection (X-SENTIMENT 2021) co-located with co-located with 18th Extended Semantic Web Conference 2021, Hersonissos, Greece, June 6th, 2021

2020
Exploring the Predictive Power of News and Neural Machine Learning Models for Economic Forecasting.
Proceedings of the Mining Data for Financial Applications - 5th ECML PKDD Workshop, 2020

Fine-grained, aspect-based semantic sentiment analysis within the economic and financial domains.
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

2019
Monitoring the Business Cycle with Fine-Grained, Aspect-Based Sentiment Extraction from News.
Proceedings of the Mining Data for Financial Applications - 4th ECML PKDD Workshop, 2019


  Loading...