Semantic Contours in Tracks Based on Emotional Tags
Michael Kai Petersen,Lars Kai Hansen,Andrius Butkus +2 more
- pp 45-66
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TLDR
It is proposed that it might be feasible to automatically generate affective user preferences based on song lyrics by applying LSA latent semantic analysis to bottom-up represent the correlation of terms and song lyrics in a vector space that reflects the emotional context.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.read more
Citations
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Proceedings Article
A contribution to semantic indexing and retrieval based on FCA - An application to song datasets
TL;DR: An original approach to semantic indexing and retrieval based on Formal Concept Analysis is introduced and an original algorithm for traversing the lattice and answering user queries is proposed.
Proceedings ArticleDOI
Dense iterative contextual pixel classification using Kriging
TL;DR: This work proposes a new method based on Kriging that makes it possible to include such long range interactions, while keeping the computations manageable when dealing with large medical images.
Cognitive nodes among lines of lyrics
TL;DR: A simplied cognitive approach based on LSA latent semantic analysis is proposed, modeling how the authors perceive the emotional content of song lyrics, the multiple contexts in which words occur are ‘bottom-up’ projected as vectors into a semantic space of reduced dimensionality.
Semantic Indexing and Retrieval based on Formal Concept Analysis
TL;DR: In this article, the concept lattice is used as a semantic index and an original algorithm for traversing the lattice and answering user queries is proposed, which has been used and evaluated on song datasets.
References
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