Stream-based active learning for sentiment analysis in the financial domain
J Smailović, M Grčar, N Lavrač, M Žnidaršič - Information sciences, 2014 - Elsevier
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 …
several studies. This paper analyzes whether the sentiment expressed in Twitter feeds …
Active learning for sentiment analysis on data streams: Methodology and workflow implementation in the ClowdFlows platform
J Kranjc, J Smailović, V Podpečan, M Grčar… - Information Processing …, 2015 - Elsevier
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 …
opinions from texts in real-time. To reduce the labeling effort needed in the data collection …
Beyond poisson: Modeling inter-arrival time of requests in a datacenter
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 …
investigate the trace that contains job requests and execution collected in one of large-scale …
[PDF][PDF] Opinion Stream Mining.
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 …
opinionated documents, ie, documents associated with a polarity. They comprise a valuable …
M3a: Model, metamodel and anomaly detection for inter-arrivals of web searches and postings
'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 …
How to detect abnormal searchbehaviors, among Alice and other users? Is there any distinct …
[PDF][PDF] Web-based experimental platform for sentiment analysis
J Smailović, M Žnidaršič, M Grčar - … of the 3rd International Conference on …, 2011 - Citeseer
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 …
various approaches of automatic sentiment analysis in financial texts. The platform provides …
M3a: Model, metamodel, and anomaly detection in web searches
'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 …
How to detect abnormal search behaviors, among Alice and other users? Is there any …
[PDF][PDF] Predicting stocks returns correlations based on unstructured data sources.
M Radzimski, JL Sánchez-Cervantes… - WaSABi-FEOSW …, 2014 - ceur-ws.org
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 …
look for novel ways of quantitative data analysis. Relying only on traditional data sources …
Decision Support Systems for Financial Market Surveillance
I Alić - 2017 - publications.goettingen-research …
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 …
of great interest to practitioners. On one hand, the financial regulatory authorities are faced …
[PDF][PDF] WaSABi-FEOSW 2014: Joint Proceedings of WaSABi 2014 and FEOSW 2014
K Hammar, A García-Crespo… - … on Semantic Web …, 2014 - diva-portal.org
Over the years, Semantic Web based systems, applications, and tools have shown
significant improvement. Their development and deployment shows the steady maturing of …
significant improvement. Their development and deployment shows the steady maturing of …