Personal Music Data Labeling & Categorization
Categorized and labeled over 1300 personal music tracks using detailed multi-dimensional attributes. Attributes included energy, aggressiveness, danceability, valence, emotional intensity, and acousticness for improved organization. Developed a structured, category-based system to make music collection management more efficient. • Applied music analysis skills on a personal database • Classified tracks into mood/energy-based categories • Used consistent guidelines for attribute labeling • Ensured all tracks were clearly mapped to relevant parameters