Michael Fell
Title
Cited by
Cited by
Year
Lyrics-based analysis and classification of music
M Fell, C Sporleder
Proceedings of COLING 2014, the 25th international conference on …, 2014
642014
An ensemble approach of recurrent neural networks using pre-trained embeddings for playlist completion
D Monti, E Palumbo, G Rizzo, P Lisena, R Troncy, M Fell, E Cabrio, ...
Proceedings of the ACM Recommender Systems Challenge 2018, 1-6, 2018
102018
Lyrics classification
M Fell
Master's Thesis: Saarland University, 2014
92014
Lyrics segmentation: Textual macrostructure detection using convolutions
M Fell, Y Nechaev, E Cabrio, F Gandon
82018
Song lyrics summarization inspired by audio thumbnailing
M Fell, E Cabrio, F Gandon, A Giboin
72019
Comparing Automated Methods to Detect Explicit Content in Song Lyrics
M Fell, E Cabrio, M Corazza, F Gandon
Proceedings of the International Conference on Recent Advances in Natural …, 2019
42019
Love Me, Love Me, Say (and Write!) that You Love Me: Enriching the WASABI Song Corpus with Lyrics Annotations
M Fell, E Cabrio, E Korfed, M Buffa, F Gandon
arXiv preprint arXiv:1912.02477, 2019
32019
Verbal irony: Theories and automatic detection
M Fell
GRIN Verlag, 2012
32012
The WASABI dataset: cultural, lyrics and audio analysis metadata about 2 million popular commercially released songs
M Buffa, E Cabrio, FL Gandon, M Fell, A Giboin, F Michel, M Tikat, ...
2020
Natural Language Processing for Music Information Retrieval: Deep Analysis of Lyrics Structure and Content
M Fell
Université Côte D’Azur, 2020
2020
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Articles 1–10