Abstract
Outlining a high level cognitive approach to how we select media based on affective user preferences, we model the latent semantics of lyrics as patterns of emotional components. Using a selection of affective last.fm tags as top-down emotional buoys, we apply LSA latent semantic analysis to bottom-up represent the correlation of terms and song lyrics in a vector space that reflects the emotional context. Analyzing the resulting patterns of affective components, by comparing them against last.fm tag clouds describing the corresponding songs, we propose that it might be feasible to automatically generate affective user preferences based on song lyrics.
Original language | English |
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Title of host publication | Computer Music Modeling and Retrieval. : Genesis of Meaning in Sound and Music |
Number of pages | 285 |
Volume | Volume 5493/2010 |
Publisher | Springer |
Publication date | 2009 |
Edition | 1st |
Pages | 45-66 |
ISBN (Print) | 978-3-642-02517-4 |
DOIs | |
Publication status | Published - 2009 |
Event | 5th International Symposium of Computer Music Modeling and Retrieval: Genesis of Meaning in Sound and Music - Copenhagen, Denmark Duration: 19 May 2008 → 23 May 2008 Conference number: 5 |
Conference
Conference | 5th International Symposium of Computer Music Modeling and Retrieval |
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Number | 5 |
Country/Territory | Denmark |
City | Copenhagen |
Period | 19/05/2008 → 23/05/2008 |
Series | Lecture Notes in Computer Science |
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Volume | 5493 |
ISSN | 0302-9743 |