Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Miha Grčar"'
Publikováno v:
PLoS ONE, Vol 12, Iss 2, p 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:
https://doaj.org/article/b6da5b86117c4de5afde8c74735935aa
Publikováno v:
PLoS ONE, Vol 11, Iss 5, p 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:
https://doaj.org/article/e153895f10504891b0b4692ae862b0bb
Cohesion and Coalition Formation in the European Parliament: Roll-Call Votes and Twitter Activities.
Publikováno v:
PLoS ONE, Vol 11, Iss 11, p 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 p
Externí odkaz:
https://doaj.org/article/79fcc4a929a748c7aa2431a13982a9d6
Publikováno v:
PLoS ONE, Vol 10, Iss 9, p e0138441 (2015)
Social media are increasingly reflecting and influencing behavior of other complex systems. In this paper we investigate the relations between a well-known micro-blogging platform Twitter and financial markets. In particular, we consider, in a period
Externí odkaz:
https://doaj.org/article/6cabbecce6054d5eb3d20391c3b6605d
Autor:
Marko Popović, Hrvoje Štefančić, Borut Sluban, Petra Kralj Novak, Miha Grčar, Igor Mozetič, Michelangelo Puliga, Vinko Zlatić
Publikováno v:
PLoS ONE, Vol 9, Iss 12, p 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:
https://doaj.org/article/5c0f14ddff454c2a8a65d37637e00609
Publikováno v:
Multiplex and Multilevel Networks
The chapter “Multilevel News Networks” describes how to construct time-varying, multilayer networks linking entities from online news articles. It builds on preliminary research on extraction of entity co-occurrence networks from news and extends
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db734be27c6b8755c2eb1af575c0934d
https://doi.org/10.1093/oso/9780198809456.003.0007
https://doi.org/10.1093/oso/9780198809456.003.0007
Publikováno v:
Information Processing & Management. 51:187-203
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 phase, active learning is often applied in streaming scenarios,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b738ee14039ec10ab29aea1f5eb1b156
https://doi.org/10.1016/j.ipm.2014.04.001
https://doi.org/10.1016/j.ipm.2014.04.001
Publikováno v:
Computational Social Networks
Computational social networks, vol. 4, pp. 6-1-6-25, 2017.
Computational Social Networks, Vol 4, Iss 1, Pp 1-25 (2017)
Computational social networks, vol. 4, pp. 6-1-6-25, 2017.
Computational Social Networks, Vol 4, Iss 1, Pp 1-25 (2017)
Social media are an important source of information about the political issues, reflecting, as well as influencing, public mood. We present an analysis of Twitter data, collected over 6 weeks before the Brexit referendum, held in the UK in June 2016.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ec5342520cb0528993350d9c74f53ef
https://doi.org/10.1186/s40649-017-0042-6
https://doi.org/10.1186/s40649-017-0042-6
Publikováno v:
PloS one, vol. 12, no. 2, pp. e0173151-1-e0173151-21, 2017.
PLoS ONE, Vol 12, Iss 2, p e0173151 (2017)
PLOS ONE
PLoS ONE
PLoS ONE, Vol 12, Iss 2, p e0173151 (2017)
PLOS ONE
PLoS ONE
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86e0e653671cf8db74b713b7121c2528
https://hdl.handle.net/20.500.12556/DiRROS-6367
https://hdl.handle.net/20.500.12556/DiRROS-6367
Publikováno v:
PLoS ONE
PloS one, vol. 11, no. 11, pp. 0166586-1-0166586-27, 2016.
PLOS ONE
PLoS ONE, Vol 11, Iss 11, p e0166586 (2016)
PloS one, vol. 11, no. 11, pp. 0166586-1-0166586-27, 2016.
PLOS ONE
PLoS ONE, Vol 11, Iss 11, p 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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c47d3f42a0b231bf917fefe8bbaf0af
http://europepmc.org/articles/PMC5106041
http://europepmc.org/articles/PMC5106041