Paper Info
Title
Moodsically. Personal Music Management Tool with Automatic Classification of Emotions.
Abstract
It is a fact that music is directly linked to emotions. Various researches study the link between musical characteristics and the feeling produced or even induced. This work shows a web tool that allows the automatically extraction of musical characteristics of songs including the emotional classification and it uses this metadata to manage the user playlist in streaming. The objective of this work has been to contribute to improve a streaming music tool with perceptual characteristics associated with emotions and musical descriptors elements. The tool provides profile management, such as search engine, customizable playlist generation and song's recommender alignment with emotional elements associated with music characteristics.
Year
DOI
Venue
2018
10.1007/978-3-319-94649-8_14
DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE
Keywords
Field
DocType
Sentiment analysis,Music streaming,User profiling and personalization
Metadata,Profile management,Management tool,Musical,Computer science,Sentiment analysis,Emotion classification,Human–computer interaction,Perception,Feeling,Distributed computing
Conference
Volume
ISSN
Citations 
800
2194-5357
0
PageRank 
References 
Authors
0.34
7
5
Name
Order
Citations
PageRank
Jorge García Vicente100.34
Ana B. Gil24914.81
Ana de Luis-Reboredo301.35
Diego Sánchez-Moreno4173.41
María N. Moreno García514826.06