400 citations · 754 across the 8 of their papers we have counts for
8 papers
Twitter Sentiment around the Earnings Announcement Events
Peter Gabrovsek, Darko Aleksovski, Igor Mozetic +1
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 comp…
Cohesion and Coalition Formation in the European Parliament: Roll-Call Votes and Twitter Activities
Darko Cherepnalkoski, Andreas Karpf, Igor Mozetic +1
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…
Multilingual Twitter Sentiment Classification: The Role of Human Annotators
Igor Mozetic, Miha Grcar, Jasmina Smailovic
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 construc…
Analysis of Financial News with NewsStream
Petra Kralj Novak, Miha Grcar, Borut Sluban +1
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 anal…
The Effects of Twitter Sentiment on Stock Price Returns
Gabriele Ranco, Darko Aleksovski, Guido Caldarelli +2
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 T…
Extraction of Temporal Networks from Term Co-occurrences in Online Textual Sources
Marko Popović, Hrvoje Štefančić, Borut Sluban +5
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…
News Cohesiveness: an Indicator of Systemic Risk in Financial Markets
Matija Piškorec, Nino Antulov-Fantulin, Petra Kralj Novak +4
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…
Synthetic sequence generator for recommender systems - memory biased random walk on sequence multilayer network
Nino Antulov-Fantulin, Matko Bosnjak, Vinko Zlatic +2
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 pr…