Pregled bibliografske jedinice broj: 1136626
Using Natural Language Processing for Fake News Detection
Using Natural Language Processing for Fake News Detection, 2021., diplomski rad, diplomski, Fakultet elektrotehnike i računarstva, Zagreb
CROSBI ID: 1136626 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Using Natural Language Processing for Fake News
Detection
Autori
Cvitanović, Ivana
Vrsta, podvrsta i kategorija rada
Ocjenski radovi, diplomski rad, diplomski
Fakultet
Fakultet elektrotehnike i računarstva
Mjesto
Zagreb
Datum
13.07
Godina
2021
Stranica
56
Mentor
Bagić Babac, Marina
Ključne riječi
Natural Language Processing, Fake News ; Self-Attention ; Deep Learning ; Transfer Learning
Sažetak
Nowadays, fake news is one of major concerns in our society, that is a form of news consisting of deliberate disinformation or hoaxes spread via traditional news media or online social media. Thus, this thesis aims to explore state-of-the- art methods for detecting fake news based on natural language processing. Advantages and limitations of current detection techniques are discussed. An example of fake news detector is designed and implemented using current datasets that are available for this purpose and analysing linguistic features to extract key patterns in fake news.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Marina Bagić Babac
(mentor)