The importance of data science and big data analytics is growing very fast as organizations
are gearing up to leverage their information assets to gain competitive advantage. The …

Despite recent successes of deep learning in many fields of natural language processing,
previous studies of emotion recognition on Twitter mainly focused on the use of lexicons and …

Abstract Supply Chains (SCs) are dynamic and complex networks that are exposed to
disruption, which have consequences hard to quantify. Thus, simulation may be used, as it …

Simulation stands out as an appropriate method for the Supply Chain Management (SCM)
field. Nevertheless, to produce accurate simulations of Supply Chains (SCs), several …

The uncertainty and variability of Supply Chains paves the way for simulation to be
employed to mitigate such risks. Due to the amounts of data generated by the systems used …

The rise of social media platforms has revolutionized the way consumers interact with
retailers and express their opinions on products and services. Online retailers particularly …

Academia, industry and government as well, are involved in big data projects. Many
researches on big data applications and technologies are actively being conducted. This …

Big data helps organizations of all sizes track performance, detect issues, and find growth
opportunities. Big data has advantages, but supporting it with computer resources and …

A natureza complexa e dinâmica das Cadeias de Abastecimento expõe estas redes a
eventos disruptivos, com consequências difíceis de quantificar. Para evitar tais problemas, a …

Deep learning has recently revolutionised many fields of natural language processing but
has not yet been applied to emotion recognition. Most recent studies of emotion recognition …