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undergraduate thesis
Uloga računalne obrade prirodnog jezika i SQL-a u analizi sentimenta
Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences, 2023. urn:nbn:hr:131:722107
Brcković, Borna
University of Zagreb
Faculty of Humanities and Social Sciences
Department of information and Communication sciences

Institutional repository: ODRAZ

Cite this document

Brcković, B. (2023). Uloga računalne obrade prirodnog jezika i SQL-a u analizi sentimenta (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:131:722107

Brcković, Borna. "Uloga računalne obrade prirodnog jezika i SQL-a u analizi sentimenta." Undergraduate thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2023. https://urn.nsk.hr/urn:nbn:hr:131:722107

Brcković, Borna. "Uloga računalne obrade prirodnog jezika i SQL-a u analizi sentimenta." Undergraduate thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2023. https://urn.nsk.hr/urn:nbn:hr:131:722107

Brcković, B. (2023). 'Uloga računalne obrade prirodnog jezika i SQL-a u analizi sentimenta', Undergraduate thesis, University of Zagreb, Faculty of Humanities and Social Sciences, accessed 28 April 2024, https://urn.nsk.hr/urn:nbn:hr:131:722107

Brcković B. Uloga računalne obrade prirodnog jezika i SQL-a u analizi sentimenta [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences; 2023 [cited 2024 April 28] Available at: https://urn.nsk.hr/urn:nbn:hr:131:722107

B. Brcković, "Uloga računalne obrade prirodnog jezika i SQL-a u analizi sentimenta", Undergraduate thesis, University of Zagreb, Faculty of Humanities and Social Sciences, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:131:722107

Metadata
TitleUloga računalne obrade prirodnog jezika i SQL-a u analizi sentimenta
Title (english)The role of natural language processing and SQL in sentiment analysis
AuthorBorna Brcković
MentorIvan Dunđer (mentor)
Committee memberSanja Seljan (predsjednik povjerenstva)
Committee memberVjera Lopina (član povjerenstva)
Committee memberIvan Dunđer (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Humanities and Social Sciences
(Department of information and Communication sciences)
Zagreb
Defense date and country2023-09-20, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Abstract
U ovom završnom radu fokus je na primjeni i važnosti računalne obrade prirodnog jezika i SQL-a u analizi sentimenta, što uključuje određivanje osjećaja, stavova i mišljenja, različitih tekstova iz različitih područja ljudskog djelovanja i situacija u stvarnom životu. Ponajprije su objašnjeni svi krovni pojmovi koji su potrebni kako bi se lakše prodrlo u srž teme. Zatim su predstavljeni različiti aspekti računalne obrade prirodnog jezika, tj. neke osnovne zadaće računalne obrade prirodnog jezika, poput tokenizacije, lematizacije, analize riječi, semantičke analize i drugih te pojedini algoritmi i tehnike unutar same računalne obrade prirodnog jezika. Također je objašnjeno na koji je način SQL koristan i bitan za analizu sentimenta, posebice pri pronalaženju velike količine podataka iz velikih baza podataka. Objašnjeni su svi procesi koji se koriste i koji su prisutni pri analizi sentimenta te kako SQL i NLP izvršavaju svoje prethodno navedene zadatke pri analizi sentimenta. Naposljetku, dan je zaključak o korisnosti NLP-a i SQL-a u analizi sentimenta te hipotetskim problemima koji im stoje na putu za još uspješnije izvršavanje analize.
Abstract (english)
This bachelor thesis focuses on the application and importance of Natural Language Processing (NLP) and SQL in sentiment analysis, which involves determining the feelings, opinions, and attitudes expressed in various texts from different areas of human activity and real-life situations. Firstly, all the key concepts necessary to delve into the core of the topic are explained. Subsequently, various aspects of Natural Language Processing are introduced, including fundamental tasks such as tokenization, lemmatization, word analysis, semantic analysis, and other related algorithms and techniques within the realm of NLP. The manner in which SQL is useful and essential for sentiment analysis is also explained, especially in dealing with substantial amounts of data from large databases. The processes used and involved in sentiment analysis will be elucidated, detailing how SQL and NLP execute their aforementioned tasks within sentiment analysis. Finally, a conclusion is drawn regarding the utility of NLP and SQL in the sentiment analysis, along with hypothetical challenges they may encounter in their pursuit of more successful analysis.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:131:722107
Study programmeTitle: Information Sciences
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informacijskih znanosti (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informacijskih znanosti)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2023-09-20 18:28:12