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master's thesis
Detekcija lažnih vijesti pomoću obrade prirodnog jezika
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:603927
Cvitanović, Ivana
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Cvitanović, I. (2021). Detekcija lažnih vijesti pomoću obrade prirodnog jezika (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:603927

Cvitanović, Ivana. "Detekcija lažnih vijesti pomoću obrade prirodnog jezika." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:603927

Cvitanović, Ivana. "Detekcija lažnih vijesti pomoću obrade prirodnog jezika." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:603927

Cvitanović, I. (2021). 'Detekcija lažnih vijesti pomoću obrade prirodnog jezika', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 19 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:603927

Cvitanović I. Detekcija lažnih vijesti pomoću obrade prirodnog jezika [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 June 19] Available at: https://urn.nsk.hr/urn:nbn:hr:168:603927

I. Cvitanović, "Detekcija lažnih vijesti pomoću obrade prirodnog jezika", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:603927

Metadata
TitleDetekcija lažnih vijesti pomoću obrade prirodnog jezika
Title (english)Using Natural Language Processing for Fake News Detection
AuthorIvana Cvitanović
MentorMarina Bagić Babac (mentor)
Committee memberMarina Bagić Babac (predsjednik povjerenstva)
Committee memberMarko Horvat (član povjerenstva)
Committee memberKrešimir Fertalj (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Automatska detekcija lažnih vijesti važan je zadatak u području obrade prirodnog jezika. U ovom radu iznešen je kratki pregled prijašnjih istraživanja i pristupa problemu detekcije lažnih vijesti. Konstruran je skup podataka korištenjem javno dostupnih skupova podataka namjenjenih za detekciju lažnih vijesti. Četri binarna klasifikatora su istrenirana i validirana. Sva četri modela koriste “self-attention” mehanizam. Tri modela koriste tradicionalno nadzirano strojno učenje dok četvrti model za isti zadatak koristi prijenosno učenje. Sva četri modela ostvaruju komparabilne rezultate. Model treniran korištenjem prijenosnog učenje pokazuje najbolju točnost.
Abstract (english)
Automatic fake news detection is an important subject in NLP. This work overviews some of the previous research and approaches on a subject of fake news detection. A dataset is constructed using three publicly available datasets intended for fake news detection. Four different binary classification models are trained and evaluated. All four models utilize the self-attention mechanism. Three models explore traditional supervised learning. The fourth model explores transfer learning, by fine-tuning the pre-trained language model for the same task. All four models yield comparable results with the fourth model achieving the best accuracy.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:603927
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-13 14:42:08