Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Katarzyna Baraniak"'
Autor:
Katarzyna Baraniak, Marcin Sydow
Publikováno v:
KES
On-line news portals play a very important role in the information society. Fair media should present reliable and objective information. In practice there is an observable positive or negative bias concerning named entities (e.g. politicians) mentio
Publikováno v:
IEEE/WIC/ACM International Conference on Web Intelligence.
Autor:
Katarzyna Baraniak, Marcin Sydow
Publikováno v:
FedCSIS
Digital media have enormous impact on the public opinion. In the ideal world the news in public media should be presented in a fair and impartial way. In practice the information presented in digital media is often biased and may distort the opinion
Autor:
Katarzyna Baraniak
Publikováno v:
Studies in Big Data ISBN: 9783319776033
Intelligent Methods and Big Data in Industrial Applications
Intelligent Methods and Big Data in Industrial Applications
This paper presents an approach to predict trading based on recommendations of experts using XGBoost model, created during ISMIS 2017 Data Mining Competition: Trading Based on Recommendations. We present a method to manually engineer features from se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f07cf60553f0383fe8dbc4e962e820c9
https://doi.org/10.1007/978-3-319-77604-0_11
https://doi.org/10.1007/978-3-319-77604-0_11
Autor:
Katarzyna Baraniak, Marcin Sydow
Publikováno v:
Studies in Big Data ISBN: 9783319776033
Intelligent Methods and Big Data in Industrial Applications
Intelligent Methods and Big Data in Industrial Applications
Our work presents a simple method of analysing occurrences of entities in news articles. We demonstrate that frequency of named entities in news articles is a reflection of events in real world related to these entities. Occurrences and co-occurrence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca1e73849f113db6902459139d864a8c
https://doi.org/10.1007/978-3-319-77604-0_23
https://doi.org/10.1007/978-3-319-77604-0_23
Publikováno v:
Advances in Network Science ISBN: 9783319283609
NetSci-X
NetSci-X
This paper presents some empirical study towards understanding the role of diversity of individual authors and whole teams of authors on the quality of the articles they co-edit in open collaboration environments like Wikipedia. We introduce a concep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c48bf78035218bffab7e804af6d3357b
https://doi.org/10.1007/978-3-319-28361-6_8
https://doi.org/10.1007/978-3-319-28361-6_8
Publikováno v:
Journal of Intelligent Information Systems.
We study whether and how the diversity of editors and teams affects the quality of work in a virtual cooperative work environment on the Wikipedia example. We propose a measure of interests diversity of an editor and some measures of team diversity i