Positive and Risky Message Assessment for Music Products

Zhang, Yigeng, Shafaei, Mahsa, Gonzalez, Fabio, Solorio, Thamar

arXiv.org Artificial Intelligence 

People can use various tools, such as high-fidelity players and streaming apps, to enjoy In this work, we introduce a novel NLP task: assessing music at any time. Listeners can simply go the positive and risky messages of a music online, press the PLAY button, and find themselves item. We study the messages that a music item invigorated after a bad day. However, this easy access conveys from five significant dimensions regarding also raises concerns that children and adolescents appropriateness: Positive Messages, Violence, may have a higher chance of being exposed to Substance Consumption, Sex, and Consumerism risky content.

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