Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
SLO
Login
Search
Browsing
Upload document
Statistics
RUP
FAMNIT - Faculty of Mathematics, Science and Information Technologies
FHŠ - Faculty of Humanities
FM - Faculty of Management
FTŠ Turistica - Turistica – College of Tourism Portorož
FVZ - Faculty of Health Sciences
IAM - Andrej Marušič Institute
PEF - Faculty of Education
UPR - University of Primorska
ZUP - University of Primorska Press
COBISS
University of Primorska, University Library - all departments
First page
/
Show document
Show document
A-
|
A+
|
Print
Title:
Uporaba razpoloženja objav na omrežju Twitter za napovedovanje vrednosti delnice TSLA : zaključna naloga
Authors:
ID
Peruško, Sebastijan
(Author)
ID
Tkalčič, Marko
(Mentor)
More about this mentor...
ID
Kavšek, Branko
(Comentor)
Files:
https://www.famnit.upr.si/sl/studij/zakljucna_dela/view/1121
Language:
Slovenian
Work type:
Final paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FAMNIT - Faculty of Mathematics, Science and Information Technologies
Keywords:
računalništvo
,
strojno učenje
,
časovne vrste
,
delnice
,
napovedovanje
Place of publishing:
Koper
Place of performance:
Koper
Publisher:
[S. Peruško]
Year of publishing:
2022
Year of performance:
2022
Number of pages:
XI, 55 str.
PID:
20.500.12556/RUP-18805
UDC:
004.4
COBISS.SI-ID:
122423299
Publication date in RUP:
22.09.2022
Views:
1079
Downloads:
11
Metadata:
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
Copy citation
Average score:
(0 votes)
Your score:
Voting is allowed only for
logged in
users.
Share:
Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.
Secondary language
Language:
English
Title:
Use of sentiment from Twitter posts for predicting the TSLA share value
Keywords:
computer science
,
machine learning
,
time series
,
shares
,
forecasting
Comments
Leave comment
You must
log in
to leave a comment.
Comments (0)
0 - 0 / 0
There are no comments!
Back