Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Grcar, Miha"'
Publikováno v:
PLoS ONE 12(2): e0173151, 2017
We investigate the relationship between social media, Twitter in particular, and stock market. We provide an in-depth analysis of the Twitter volume and sentiment about the 30 companies in the Dow Jones Industrial Average index, over a period of thre
Externí odkaz:
http://arxiv.org/abs/1611.02090
Publikováno v:
PLoS ONE 11(11): e0166586, 2016
We study the cohesion within and the coalitions between political groups in the Eighth European Parliament (2014--2019) by analyzing two entirely different aspects of the behavior of the Members of the European Parliament (MEPs) in the policy-making
Externí odkaz:
http://arxiv.org/abs/1608.04917
Publikováno v:
PLoS ONE 11(5): e0155036, 2016
What are the limits of automated Twitter sentiment classification? We analyze a large set of manually labeled tweets in different languages, use them as training data, and construct automated classification models. It turns out that the quality of cl
Externí odkaz:
http://arxiv.org/abs/1602.07563
Unstructured data, such as news and blogs, can provide valuable insights into the financial world. We present the NewsStream portal, an intuitive and easy-to-use tool for news analytics, which supports interactive querying and visualizations of the d
Externí odkaz:
http://arxiv.org/abs/1508.00027
Publikováno v:
PLoS ONE 10(9): e0138441 (2015)
Social media are increasingly reflecting and influencing behavior of other complex systems. In this paper we investigate the relations between a well-know micro-blogging platform Twitter and financial markets. In particular, we consider, in a period
Externí odkaz:
http://arxiv.org/abs/1506.02431
Autor:
Popović, Marko, Štefančić, Hrvoje, Sluban, Borut, Novak, Petra Kralj, Grčar, Miha, Mozetič, Igor, Puliga, Michelangelo, Zlatić, Vinko
Publikováno v:
PLoS ONE 9(12): e99515 (2014)
A stream of unstructured news can be a valuable source of hidden relations between different entities, such as financial institutions, countries, or persons. We present an approach to continuously collect online news, recognize relevant entities in t
Externí odkaz:
http://arxiv.org/abs/1406.5323
Autor:
Piškorec, Matija, Antulov-Fantulin, Nino, Novak, Petra Kralj, Mozetič, Igor, Grčar, Miha, Vodenska, Irena, Šmuc, Tomislav
Publikováno v:
Scientific Reports 4: 5038 (2014)
Motivated by recent financial crises significant research efforts have been put into studying contagion effects and herding behaviour in financial markets. Much less has been said about influence of financial news on financial markets. We propose a n
Externí odkaz:
http://arxiv.org/abs/1402.3483
Personalized recommender systems rely on each user's personal usage data in the system, in order to assist in decision making. However, privacy policies protecting users' rights prevent these highly personal data from being publicly available to a wi
Externí odkaz:
http://arxiv.org/abs/1201.6134
Autor:
Kranjc, Janez, Smailović, Jasmina, Podpečan, Vid, Grčar, Miha, Žnidaršič, Martin, Lavrač, Nada
Publikováno v:
In Information Processing and Management March 2015 51(2):187-203
Publikováno v:
In Information Sciences 20 November 2014 285:181-203