Learning knowledge from text is becoming increasingly important as the amount of
unstructured content on the Web rapidly grows. Despite recent breakthroughs in natural …

Though the strong evolution of knowledge learning models has characterized the last few
years, the explanation of a phenomenon from text documents, called descriptive text mining …

The use of knowledge graphs (KGs) in advanced applications is constantly growing, as a
consequence of their ability to model large collections of semantically interconnected data …

Emerging research indicates that sentiment analyses of Dubrovnik focus mainly on hotel
accommodations and restaurants. However, little attention has been paid to attractions, even …

Previous studies claim that financial news influence the movements of stock prices almost
instantaneously, however the poor foreseeability of news limits their possibility of predicting …

Negotiation is an essential form of social interaction; however, reaching a reasonable
agreement in negotiations is difficult. This is especially due to the complexity of the issues …

Deep neural networks are one of the major classification machines in machine learning.
Several Deep Neural Networks (DNNs) have been developed and evaluated in recent years …

Data mining techniques allow the extraction of valuable information from heterogeneous
and possibly very large data sources, which can be either structured or unstructured …

Algorithmic trading approaches based on news or social network posts claim to outperform
classical methods that use only price time series and other economics values. However …