Released on 2026-02-09
AI in Music: A Bibliometric and Systematic Review
F Tong, D Jiang, Q Jiao, A Isufi, F J Zhang
This comprehensive review explores the role of artificial intelligence in music creation, performance, and education. It systematically maps the research landscape, identifies emerging trends, and highlights key challenges and opportunities.
DeepCox Technical Support
- Natural Language Processing: Developed custom NLP pipelines for abstract and keyword analysis across thousands of publications.
- Bibliometric Analytics: Implemented statistical co-occurrence and citation network analysis using Python (NetworkX, SciPy).
- Visualization Tools: Built interactive dashboards with Plotly to visualize research clusters and temporal evolution.
- Data Curation: Automated scraping and cleaning of metadata from multiple academic databases (Scopus, Web of Science).