Abstract:

A method was  proposed for music classification using web tags on web mining, and  the user tags made from Last.fm were used as features to study the music similarity. The web tags extracted from Last.fm were the  music semantic feature. The Latent Semantic Analysis (LSA) was used for dimension reduction, and finally, according to the similarity between music,  clustering results were obtained by the improved K-means. The experimental results show that the proposed method in this paper can get a better result in music classification.

Key words: tag; music similarity; LSA; dimension reduction; Web