Naslov
Quantitative analysis of the relationship between expressing gratitude and forgiveness and user sentiment on social media

Autori
Hitl, Mateo

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

Fakultet
Fakultet elektrotehnike i računarstva

Mjesto
Zagreb

Datum
26.06

Godina
2023

Stranica
32

Mentor
Bagić Babac, Marina

Ključne riječi
forgiveness ; gratitude ; Twitter ; sentiment analysis of text ; topic modelling

Sažetak
This thesis explores the relationship between expressing gratitude and forgiveness in Twitter posts and the overall sentiment of user posts. The hypothesis posits that users who frequently express gratitude or forgiveness will exhibit more positive sentiment in all posts during the observed period, compared to those who express these emotions less often. To test the hypothesis, sentiment analysis and statistical inference will be utilized. Additionally, topic modelling algorithms will be employed to identify and assess the correlation between expressing gratitude and forgiveness and various topics. The findings of this study can inform future research on how expressing gratitude and forgiveness can affect online sentiment and communication.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Psihologija

POVEZANOST RADA