Search Results - "Consoli, Sergio"
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Explainable Machine Learning Exploiting News and Domain-Specific Lexicon for Stock Market Forecasting
Published in IEEE access (2021)“…In this manuscript, we propose a Machine Learning approach to tackle a binary classification problem whose goal is to predict the magnitude (high or low) of…”
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Natural Language Processing and Deep Learning for Bankruptcy Prediction: An End-to-End Architecture
Published in IEEE access (2024)“…Machine and Deep Learning methods are widely adopted to predict corporate bankruptcy events for their effectiveness. Bankruptcy prediction is commonly modeled…”
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Leveraging augmentation techniques for tasks with unbalancedness within the financial domain: a two-level ensemble approach
Published in EPJ data science (01-12-2023)“…Modern financial markets produce massive datasets that need to be analysed using new modelling techniques like those from (deep) Machine Learning and…”
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Cultural gems linked open data: Mapping culture and intangible heritage in European cities
Published in Data in brief (01-08-2023)“…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…”
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Generative Adversarial Networks for Synthetic Data Generation in Finance: Evaluating Statistical Similarities and Quality Assessment
Published in AI (Basel) (01-06-2024)“…Generating synthetic data is a complex task that necessitates accurately replicating the statistical and mathematical properties of the original data elements…”
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Exploring Environmental, Social, and Governance (ESG) Discourse in News: An AI-Powered Investigation Through Knowledge Graph Analysis
Published in IEEE access (2024)“…In recent years, the significance of Environmental, Social, and Governance criteria in assessing financial investments has grown significantly. This paper…”
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Ensembling and Dynamic Asset Selection for Risk-Controlled Statistical Arbitrage
Published in IEEE access (2021)“…In recent years, machine learning algorithms have been successfully employed to leverage the potential of identifying hidden patterns of financial market…”
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Event detection in finance using hierarchical clustering algorithms on news and tweets
Published in PeerJ. Computer science (10-05-2021)“…In the current age of overwhelming information and massive production of textual data on the Web, Event Detection has become an increasingly important task in…”
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Triplétoile: Extraction of knowledge from microblogging text
Published in Heliyon (30-06-2024)“…Numerous methods and pipelines have recently emerged for the automatic extraction of knowledge graphs from documents such as scientific publications and…”
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CulturAI: Semantic Enrichment of Cultural Data Leveraging Artificial Intelligence
Published in IEEE access (2022)“…In this paper, we propose an innovative tool able to enrich cultural and creative spots (gems, hereinafter) extracted from the European Commission Cultural…”
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Forecasting with Economic News
Published in Journal of business & economic statistics (03-07-2023)“…The goal of this article is to evaluate the informational content of sentiment extracted from news articles about the state of the economy. We propose a…”
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Fine-grained, aspect-based sentiment analysis on economic and financial lexicon
Published in Knowledge-based systems (08-07-2022)“…Extracting sentiment from news text, social media and blogs has recently gained increasing interest in economics and finance. Despite many successful…”
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Emotions in macroeconomic news and their impact on the European bond market
Published in Journal of international money and finance (01-11-2021)“…•Emotions help explaining and forecasting future international bond yield spreads.•News emotion indicators are extracted from the novel news-based GDELT…”
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14
Forecasting GDP in Europe with textual data
Published in Journal of applied econometrics (Chichester, England) (01-03-2024)“…We evaluate the informational content of news‐based sentiment indicators for forecasting gross domestic product (GDP) and other macroeconomic variables of the…”
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15
Statistical arbitrage powered by Explainable Artificial Intelligence
Published in Expert systems with applications (15-11-2022)“…Machine learning techniques have recently become the norm for detecting patterns in financial markets. However, relying solely on machine learning algorithms…”
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Sentiment analysis of economic text: A lexicon‐based approach
Published in Economic inquiry (13-11-2024)“…We propose an economic lexicon (EL) specifically designed for textual applications in economics. We construct the dictionary with two important…”
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Artificial Intelligence in Clinical Health Care Applications: Viewpoint
Published in Interactive journal of medical research (05-04-2019)“…The idea of artificial intelligence (AI) has a long history. It turned out, however, that reaching intelligence at human levels is more complicated than…”
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Neural forecasting of the Italian sovereign bond market with economic news
Published in Journal of the Royal Statistical Society. Series A, Statistics in society (01-12-2022)“…In this paper, we employ economic news within a neural network framework to forecast the Italian 10‐year interest rate spread. We use a big, open‐source,…”
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Sentilo: Frame-Based Sentiment Analysis
Published in Cognitive computation (01-04-2015)“…Sentilo is an unsupervised, domain-independent system that performs sentiment analysis by hybridizing natural language processing techniques and semantic Web…”
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The development and application of metaheuristics for problems in graph theory: a computational study
Published in 4OR (01-09-2012)Get full text
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