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Title:Using words from daily news headlines to predict the movement of stock market indices
Authors:ID Kavšek, Branko (Author)
Files:.pdf RAZ_Kavsek_Branko_i2017.pdf (344,31 KB)
MD5: 4FA3BCD8FA4B7C6BB7091845A2E18827
 
Language:English
Work type:Unknown
Typology:1.01 - Original Scientific Article
Organization:ZUP - University of Primorska Press
Keywords:adaptive dynamics, mathematical model, infectious disease, virulence
Year of publishing:2017
Number of pages:str. 109-121
Numbering:Vol. 15, no. 2
PID:20.500.12556/RUP-9330 This link opens in a new window
UDC:004:336
ISSN on article:1854-6935
DOI:10.26493/1854-6935.15.109-121 This link opens in a new window
COBISS.SI-ID:1540004036 This link opens in a new window
Publication date in RUP:15.01.2018
Views:4077
Downloads:150
Metadata:XML DC-XML DC-RDF
:
KAVŠEK, Branko, 2017, Using words from daily news headlines to predict the movement of stock market indices. Managing global transitions. international research journal [online]. 2017. Vol. 15, no. 2, p. 109–121. [Accessed 1 April 2025]. DOI 10.26493/1854-6935.15.109-121. Retrieved from: https://repozitorij.upr.si/IzpisGradiva.php?lang=eng&id=9330
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Record is a part of a journal

Title:Managing global transitions. international research journal
Publisher:Faculty of management, Faculty of management, University of Primorska Press
ISSN:1854-6935
COBISS.SI-ID:230019072 This link opens in a new window

Secondary language

Language:English
Keywords:borzni trgi, rudarjenje besedil, strojno učenje, napovedno modeliranje, obdelava naravnih jezikov, stock markets, text mining, machine learning, predictive modelling, natural language processing


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