Lyrics Classification using Naive Bayes (CROSBI ID 666822)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Bužić, Dalibor ; Dobša, Jasminka
engleski
Lyrics Classification using Naive Bayes
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.
Naive Bayes classifier, text classification, machine learning
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Podaci o prilogu
1180-1184.
2018.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2018
Skala, Koralj
Rijeka:
Podaci o skupu
MIPRO 2018
predavanje
21.05.2018-25.05.2018
Opatija, Hrvatska
Povezanost rada
Informacijske i komunikacijske znanosti