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master's thesis
Primjena NLP-a u odabiru preferiranog lijeka
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. urn:nbn:hr:200:376790
Osmakčić, Dorijan
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Programming Languages and Systems

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Osmakčić, D. (2024). Primjena NLP-a u odabiru preferiranog lijeka (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:376790

Osmakčić, Dorijan. "Primjena NLP-a u odabiru preferiranog lijeka." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:376790

Osmakčić, Dorijan. "Primjena NLP-a u odabiru preferiranog lijeka." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:376790

Osmakčić, D. (2024). 'Primjena NLP-a u odabiru preferiranog lijeka', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 18 February 2025, https://urn.nsk.hr/urn:nbn:hr:200:376790

Osmakčić D. Primjena NLP-a u odabiru preferiranog lijeka [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2024 [cited 2025 February 18] Available at: https://urn.nsk.hr/urn:nbn:hr:200:376790

D. Osmakčić, "Primjena NLP-a u odabiru preferiranog lijeka", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:200:376790

Metadata
TitlePrimjena NLP-a u odabiru preferiranog lijeka
Title (english)Application of NLP in choosing the preferred drug
AuthorDorijan Osmakčić
MentorČaslav Livada (mentor)
Committee memberČaslav Livada (predsjednik povjerenstva)
Committee memberAlfonzo Baumgartner (član povjerenstva)
Committee memberTomislav Galba (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Programming Languages and Systems)
Osijek
Defense date and country2024-09-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Abstract
U ovom diplomskom radu prikazani su primjeri postojećih rješenja koja primjenjuju NLP. Objašnjena je teorijska podloga chatbot tehnologije, NLP-a, njenih metoda koje se koriste u radu i React-a kroz koji je napravljena chatbot aplikacija. Prikazano je programsko rješenje unutar Python skripte koje koristi algoritme Levenshteinove udaljenosti i pretrage lijeka, ali i metode strojnog učenja preko kojih se ostvaruje izvlačenje značajki iz korisnikovih rečenica. Uz programsko rješenje logike chatbota, prikazan je i klijentski dio aplikacije kroz React kao i način komunikacije klijentske i serverske strane. U konačnici je prikazan izgled aplikacije kroz primjere razgovora s botom unutar sučelja aplikacije. Prikazani su razni primjeri razgovora koji vode do različitih rezultata savjeta lijeka.
Abstract (english)
This thesis presents examples of existing solutions that apply NLP. The theoretical basis of chatbot technology, NLP, its methods used in work and React, through which the chatbot application was made, were explained. A program solution within a Python script that uses Levenshtein distance algorithms and searches for a cure, as well as machine learning methods that are used to extract features from user sentences, is presented. In addition to the software solution of the chatbot logic, the client part of the application through React, as well as the way of communication between the client and server side, is shown. Finally, the appearance of the application is shown through examples of conversations from the bottom inside the application interface. Different examples of conversations leading to different drug advice results are shown.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:376790
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka računarstva (sveučilišni/a magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-10-18 06:31:53