AI-Driven Sentiment Analysis for Music Composition

Author:

Wang Qinyuan,Qu Youyang,Cheng Haibo,Yu Yonghao,Wang Xiaodong,Gu Bruce

Publisher

Springer Nature Switzerland

Reference20 articles.

1. Asyrofi, M.H., Yang, Z., Yusuf, I.N.B., Kang, H.J., Thung, F., Lo, D.: Biasfinder: metamorphic test generation to uncover bias for sentiment analysis systems. IEEE Trans. Softw. Eng. 48(12), 5087–5101 (2021)

2. Calderon Vilca, H.D., Satornicio Medina, A.L., Sucari Leon, R.: Music recommender system based on sentiment analysis enhanced with natural language processing technics. Computación y Sistemas 27(1) (2023)

3. Chen, W.: Deep adversarial neural network model based on information fusion for music sentiment analysis. Comput. Sci. Inf. Syst. 00, 31–31 (2023)

4. Dang, C.N., Moreno-García, M.N., De la Prieta, F.: Hybrid deep learning models for sentiment analysis. Complexity 2021, 1–16 (2021)

5. Finnegan, R.: Music, experience, and the anthropology of emotion. In: The Cultural Study of Music, pp. 353–363. Routledge (2012)

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