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.
arXiv.org Artificial Intelligence
Sep-18-2023
- Country:
- North America > United States > Minnesota > Hennepin County > Minneapolis (0.14)
- Genre:
- Research Report (1.00)
- Industry:
- Health & Medicine > Therapeutic Area (0.94)
- Leisure & Entertainment (1.00)
- Media > Music (0.94)
- Technology: