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
|
ENG
|
Cookies and privacy
DKUM
EPF - Faculty of Business and Economics
FE - Faculty of Energy Technology
FERI - Faculty of Electrical Engineering and Computer Science
FF - Faculty of Arts
FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
FKBV - Faculty of Agriculture and Life Sciences
FKKT - Faculty of Chemistry and Chemical Engineering
FL - Faculty of Logistic
FNM - Faculty of Natural Sciences and Mathematics
FOV - Faculty of Organizational Sciences in Kranj
FS - Faculty of Mechanical Engineering
FT - Faculty of Tourism
FVV - Faculty of Criminal Justice and Security
FZV - Faculty of Health Sciences
MF - Faculty of Medicine
PEF - Faculty of Education
PF - Faculty of Law
UKM - University of Maribor Library
UM - University of Maribor
UZUM - University of Maribor Press
COBISS
Faculty of Business and Economic, Maribor
Faculty of Agriculture and Life Sciences, Maribor
Faculty of Logistics, Celje, Krško
Faculty of Organizational Sciences, Kranj
Faculty of Criminal Justice and Security, Ljubljana
Faculty of Health Sciences
Library of Technical Faculties, Maribor
Faculty of Medicine, Maribor
Miklošič Library FPNM, Maribor
Faculty of Law, Maribor
University of Maribor Library
Bigger font
|
Smaller font
Introduction
Search
Browsing
Upload document
Statistics
Login
First page
>
Show document
Show document
Title:
Uporaba metod procesiranja naravnega jezika
Authors:
ID
Paunović, Amila
(
Author
)
ID
Kljajić Borštnar, Mirjana
(
Mentor
)
More about this mentor...
Files:
MAG_Paunovic_Amila_2026.pdf
(3,94 MB)
MD5: DDDB4FC1EEC88A128A4764AD07C02FA8
Language:
Slovenian
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
FOV - Faculty of Organizational Sciences in Kranj
Abstract:
Magistrsko delo obravnava analizo sentimenta uporabniško generiranih vsebin na platformi YouTube z uporabo različnih pristopov procesiranja naravnega jezika (NLP) in metod strojnega učenja. Osrednji namen raziskave je primerjava klasičnih in sodobnih pristopov predstavitve besedila ter analiza njihovega vpliva na uspešnost klasifikacije sentimenta.
Keywords:
Analiza sentimenta
,
procesiranje naravnega jezika (NLP)
,
YouTube komentarji
,
strojno učenje
,
BERT (kontekstualne vdelave).
Place of publishing:
Maribor
Year of publishing:
2026
PID:
20.500.12556/DKUM-97728
COBISS.SI-ID:
280143107
Publication date in DKUM:
02.06.2026
Views:
201
Downloads:
11
Metadata:
Categories:
FOV
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.
Licences
License:
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:
08.04.2026
Secondary language
Language:
English
Title:
Applying natural language processing methods
Abstract:
This master's thesis addresses sentiment analysis of user-generated content on the YouTube platform using various natural language processing (NLP) approaches and machine learning methods. The main objective of the research is to compare classical and modern text representation techniques and analyze their impact on sentiment classification performance.
Keywords:
Sentiment analysis
,
natural language processing (NLP)
,
YouTube comments
,
machine learning
,
BERT (contextual embeddings)
Comments
Leave comment
You must
log in
to leave a comment.
Comments (0)
0 - 0 / 0
There are no comments!
Back
