Pregled bibliografske jedinice broj: 959565
Lyrics Classification using Naive Bayes
Lyrics Classification using Naive Bayes // Proceedings of 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2018 / Skala, Koralj (ur.).
Rijeka, 2018. str. 1180-1184 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 959565 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Lyrics Classification using Naive Bayes
Autori
Bužić, Dalibor ; Dobša, Jasminka
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2018
/ Skala, Koralj - Rijeka, 2018, 1180-1184
Skup
41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2018)
Mjesto i datum
Opatija, Hrvatska, 21.05.2018. - 25.05.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Naive Bayes classifier, text classification, machine learning
Sažetak
Text classification is an important and common task in supervised machine learning. The Naive Bayes Classifier is a popular algorithm that can be used for this purpose. The goal of our research was prediction of song performer using Naive Bayes classification algorithm based solely on lyrics. A dataset that has been created consists of lyrics performed by Nirvana and Metallica, 207 songs in total. Model evaluation measures showed very good results: precision of 0.93, recall of 0.95 and F1- measure of 0.94, therefore lyrics classification using Naive Bayes can be considered as successful.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet organizacije i informatike, Varaždin,
Visoka škola za informacijske tehnologije, Zagreb
Poveznice na cjeloviti tekst rada:
Pristup cjelovitom tekstu rada www.researchgate.net docs.mipro-proceedings.comCitiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Conference Proceedings Citation Index - Science (CPCI-S)
- Scopus