Semantic Computing of Moods Based on Tags in Social Media of Music

@article{Saari2014SemanticCO,
  title={Semantic Computing of Moods Based on Tags in Social Media of Music},
  author={Pasi Saari and Tuomas Eerola},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2014},
  volume={26},
  pages={2548-2560}
}
Social tags inherent in online music services such as Last.fm provide a rich source of information on musical moods. The abundance of social tags makes this data highly beneficial for developing techniques to manage and retrieve mood information, and enables study of the relationships between music content and mood representations with data substantially larger than that available for conventional emotion research. However, no systematic assessment has been done on the accuracy of social tags… CONTINUE READING
Highly Cited
This paper has 34 citations. REVIEW CITATIONS