Potential of Composition Market: Public acceptance in  translated musical works on YouTube platform

Afiqah Aisyah Saiful Bahar; Md Jais Ismail; Adi Nur Rasyid Rahmat

doi:10.21834/ebpj.v7iSI7.3765

Authors

Afiqah Aisyah Saiful Bahar College of Creative Arts, Universiti Teknologi MARA, Shah Alam, Malaysia
Md Jais Ismail College of Creative Arts, Universiti Teknologi MARA, Shah Alam, Malaysia
Adi Nur Rasyid Rahmat Universiti Malaya, Kuala Lumpur, Malaysia

DOI:

https://doi.org/10.21834/ebpj.v7iSI7.3765

Keywords:

Translation Techniques, Compositional Market, Public Acceptance, Online Data Mining

Abstract

Due to the worldwide demand for music consumption, more songs are translated into several languages. However, it remains a question whether the public i) prefers a loosely translated version, or ii) prefers a word-by-word translated version. Inspired by online data mining in business analytics, this quantitative research studied the public's sentiments on two translated versions of Disney's 'We Don't Talk About Bruno' song on the YouTube platform. Through semantic analysis, the researchers had found that the public prefers loosely, poetically, translated songs whilst preferring the harmony, melody, and musical sense of the songs to be retained.

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