MARSYAS: a framework for audio analysis
Organised Sound
MARSYAS: a framework for audio analysis
Organised Sound
Multimodal Music Mood Classification Using Audio and Lyrics
ICMLA '08 Proceedings of the 2008 Seventh International Conference on Machine Learning and Applications
ICEC '09 Proceedings of the 8th International Conference on Entertainment Computing
Improved video categorization from text metadata and user comments
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
IEEE Transactions on Audio, Speech, and Language Processing
Exploiting user comments for audio-visual content indexing and retrieval
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
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This short paper proposes a method to classify music video clips uploaded to a video sharing service into music mood categories such as 'cheerful,' 'wistful,' and 'aggressive.' The method leverages viewer comments posted to the music video clips for the music mood classification. It extracts specific features from the comments: (1) adjectives in comments, (2) lengthened words in comments, and (3) comments in chorus sections. Our experimental results classifying 695 video clips into six mood categories showed that our method outperformed the baseline in terms of macro and micro averaged F-measures. In addition, our method outperformed the existing approaches that utilize lyrics and audio signals of songs.