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Authors: Francesco Colace and Luca Casaburi

Affiliation: Università degli Studi di Salerno, Italy

ISBN: 978-989-758-187-8

Keyword(s): Sentiment Analysis, Recommender System, Knowledge Management.

Related Ontology Subjects/Areas/Topics: Collaborative and Social Interaction ; Emotional and Affective Computing ; Enterprise Information Systems ; Human-Computer Interaction ; Multimedia Systems

Abstract: In recent years, the music recommendation systems and dynamic generation of playlists have become extremely promising research areas. Thanks to the widespread use of the Internet, users can store a consistent set of music data and use them in the everyday context thanks to portable music players. The problem of modern music recommendation systems is how to process this large amount of data and extract meaningful content descriptors. The aim of this paper is to compare different approaches to decode the content within the mood of a song and to propose a new set of features to be considered for classification.

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Paper citation in several formats:
Colace, F. and Casaburi, L. (2016). An Approach for Sentiment Classification of Music.In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-187-8, pages 421-426. DOI: 10.5220/0005826504210426

@conference{iceis16,
author={Francesco Colace. and Luca Casaburi.},
title={An Approach for Sentiment Classification of Music},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2016},
pages={421-426},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005826504210426},
isbn={978-989-758-187-8},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - An Approach for Sentiment Classification of Music
SN - 978-989-758-187-8
AU - Colace, F.
AU - Casaburi, L.
PY - 2016
SP - 421
EP - 426
DO - 10.5220/0005826504210426

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