Persons at MENDELU


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Ing. Jonáš Petrovský
Identification number: 32394
University e-mail: jonas.petrovsky [at] mendelu.cz
 
Technical worker for educational process - Department of Informatics (FBE)
 
P 62 09  System engineering and informatics D-SE
FBE D-SE-EI pres [year 3]
Doctor type of study, full-time form
Economic informatics, 3rd year of study

Contacts     Lesson     Final thesis     Publications     Placements     Conferences     

The selected person is an author of the following publications.

Ord.PublicationsType of resultYearDetails
1.Acquiring and Analyzing Text Data for Stock Market Modelling
Petrovský, Jonáš
Acquiring and Analyzing Text Data for Stock Market Modelling. In PEFnet 2015: Abstracts. 1st ed. Brno: Mendelova univerzita v Brně, 2015, p. 54. ISBN 978-80-7509-362-2.
abstract of an article in anthology2015Details
2.Association Between Online Texts and Stock Prices
Dařena, František -- Petrovský, Jonáš
Association Between Online Texts and Stock Prices. In Proceedings of the International Scientific Conference: International Day of Science 2017. Economics, Management, Innovation. Olomouc: Univerzita Palackého v Olomouci, 2017, p. 23--29. ISBN 978-80-7455-060-7. URL: http://mvso.cz/wp-content/uploads/2017/06/IDS_2017_Conference_Proceedings.pdf
article in proceedings2017Details
3.Examining Stock Price Movements on Prague Stock Exchange Using Text Classification
Petrovský, Jonáš -- Netolický, Pavel -- Dařena, František
Examining Stock Price Movements on Prague Stock Exchange Using Text Classification. International Journal of New Computer Architectures and Their Applications. 2017. v. 7, no. 1, p. 8--13. ISSN 2412-3587. URL: http://sdiwc.net/digital-library/examining-stock-price-movements-on-prague-stock-exchange-using-text-classification
article in a professional periodical2017Details
4.Machine Learning Based Analysis of the Association between Online Texts and Stock Price Movements Using Text Classification
Petrovský, Jonáš -- Netolický, Pavel
Machine Learning Based Analysis of the Association between Online Texts and Stock Price Movements Using Text Classification. In PEFnet 2018: Abstracts . Brno: Mendelova univerzita v Brně, 2018, p. 49. ISBN 978-80-7509-602-9.
abstract of an article in anthology2018Details
5.Machine Learning-Based Analysis of the Association Between Online Texts and Stock Price Movements
Dařena, František -- Petrovský, Jonáš -- Přichystal, Jan -- Žižka, Jan
Machine Learning-Based Analysis of the Association Between Online Texts and Stock Price Movements. Inteligencia Artificial. 2018. v. 21, no. 61, p. 95--110. ISSN 1137-3601. URL: http://journal.iberamia.org/index.php/intartif/article/view/119
article in a professional periodical2018Details
6.Text Classification for Stock Market: Survey of 800 Companies and the Connection Between Text Documents and Stock Prices
Petrovský, Jonáš
Text Classification for Stock Market: Survey of 800 Companies and the Connection Between Text Documents and Stock Prices. In PEFnet 2016. 2016: Mendel University in Brno, 2016, p. 42. ISBN 978-80-7509-445-2.
abstract of an article in anthology2016Details
7.Text Classification Using Time Windows Applied to Stock Exchange
Netolický, Pavel -- Petrovský, Jonáš -- Dařena, František -- Žižka, Jan
Text Classification Using Time Windows Applied to Stock Exchange. International Journal of New Computer Architectures and Their Applications. 2017. v. 7, no. 2, p. 62--67. ISSN 2412-3587. URL: http://sdiwc.net/digital-library/text-classification-using-time-windows-applied-to-stock-exchangern
article in a professional periodical2017Details
8.Text-Mining in Streams of Textual Data Using Time Series Applied to Stock Market
Netolický, Pavel -- Petrovský, Jonáš -- Dařena, František
Text-Mining in Streams of Textual Data Using Time Series Applied to Stock Market. Acta Universitatis agriculturae et silviculturae Mendelianae Brunensis = Acta of Mendel University of agriculture and forestry Brno = Acta Mendelovy zemědělské a lesnické univerzity v Brně. 2018. v. 66, no. 6, p. 1573--1580. ISSN 1211-8516. URL: https://doi.org/10.11118/actaun201866061573
article in a professional periodical2018Details
9.Using Online Data in Predicting Stock Price Movements: Methodological and Practical Aspects
Dařena, František -- Petrovský, Jonáš -- Přichystal, Jan -- Žižka, Jan
Using Online Data in Predicting Stock Price Movements: Methodological and Practical Aspects. In: Techno-Social Systems for Modern Economical and Governmental Infrastructures. Premier Reference Source. Hershey: IGI Global, 2019. p. 125--159. ISBN 978-1-5225-5586-5. URL: https://doi.org/10.4018/978-1-5225-5586-5.ch006
chapter in a book2019Details

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