Naslov
Validating the VIA classification of human strengths and virtues using topic modeling algorithms

Autori
Gegač, Josip

Vrsta, podvrsta i kategorija rada
Ocjenski radovi, diplomski rad, preddiplomski

Fakultet
Fakultet elektrotehnike i računarstva

Mjesto
Zagreb

Datum
26.06

Godina
2023

Stranica
29

Mentor
Bagić Babac, Marina

Ključne riječi
VIA classification ; character strengths ; virtues ; Twitter ; topic modeling

Sažetak
The VIA classification of human strengths and virtues is a framework that identifies and categorizes positive traits and qualities that are valued across different cultures and time periods. This thesis aims to validate the VIA classification on a sample of Twitter posts using unsupervised machine learning techniques, specifically topic modeling algorithms. The hypothesis is that the structure of posts with the most positive sentiment, after applying topic modeling algorithms, will reflect the structure of the VIA classification. The thesis will indicate how these results may have practical implications, such as improving sentiment analysis algorithms and developing interventions that target specific character strengths in social media contexts.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti, Psihologija

POVEZANOST RADA