Naslov
Music Lyrics Mining and Sentiment Analysis

Autori
Antonijo Marijić

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

Fakultet
Fakultet elektrotehnike i računarstva

Mjesto
Zagreb

Datum
01.07

Godina
2020

Stranica
38

Mentor
Bagić Babac, Marina

Ključne riječi
data mining ; sentiment analysis ; music lyrics ; affective lexicons ; visualization

Sažetak
Sentiment analysis of lyrics is an important part of music recommendation systems as it is used for classification od songs. However, finding accurate classifiers remains a challenging task due to lack of comprehensive lyrics datasets. Based on a large dataset of lyrics, this thesis explores the process of automatic pre-processing of datasets and sentiment analysis based on use of affective lexicons. The results indicate what kind of affective dimensions can be recognized, and how they can be interpreted.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA