It is demonstrated that lexicon-derived affective features can substantially strengthen fine-grained sentiment classification, although their effectiveness depends strongly on the learning algorithm used to exploit them.
Stavroula Kridera, Alaa Mohasseb, Andreas Kanavos· Applied Sciences· 0 citations
Out-of-sample backtesting shows that the frictionless forecast-driven strategy achieves higher terminal cumulative returns than Buy-and-Hold for AAPL, SBUX, and TSLA, while Buy-and-Hold remains superior for META.
Theofanis I. Aravanis, Andreas Kanavos· Mathematics· 0 citations
The paper presents the AI Literacy Leadership Framework (AILLF), which conceptualises AI literacy as a multidimensional leadership capability comprising technical, strategic, ethical, and applied dimensions that support four interconnected leadership domains: innovation, decision-making, ethical governance, and policy...
Alaa Mohasseb, Ronel Beukman, Andreas Kanavos· Applied Informatics· 0 citations
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