Using words from daily news headlines to predict the movement of stock market indices

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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:	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
UDC:	004:336
ISSN on article:	1854-6935
DOI:	10.26493/1854-6935.15.109-121
COBISS.SI-ID:	1540004036
Publication date in RUP:	15.01.2018
Views:	3650
Downloads:	142
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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

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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