Studying the relationship between public sentiment and stock prices has been the focus of
several studies. This paper analyzes whether the sentiment expressed in Twitter feeds …

Sentiment analysis from data streams is aimed at detecting authors' attitude, emotions and
opinions from texts in real-time. To reduce the labeling effort needed in the data collection …

How frequently are computer jobs submitted to an industrial-scale datacenter? We
investigate the trace that contains job requests and execution collected in one of large-scale …

Opinion stream mining aims at learning and adaptation of a polarity model over a stream of
opinionated documents, ie, documents associated with a polarity. They comprise a valuable …

'Alice'is submitting one web search per five minutes, for three hours in a row-is it normal?
How to detect abnormal searchbehaviors, among Alice and other users? Is there any distinct …

An experimental platform is presented in the paper, which is used for the evaluation of
various approaches of automatic sentiment analysis in financial texts. The platform provides …

'Alice'is submitting one web search per five minutes, for three hours in a row-is it normal?
How to detect abnormal search behaviors, among Alice and other users? Is there any …

The recent outbreak of information demand for financial investment management forces to
look for novel ways of quantitative data analysis. Relying only on traditional data sources …

Financial decision support systems have become an important research topic and are also
of great interest to practitioners. On one hand, the financial regulatory authorities are faced …

Over the years, Semantic Web based systems, applications, and tools have shown
significant improvement. Their development and deployment shows the steady maturing of …