The aim of this procedure was to identify clusters among different music genres using Spotify data. The input variables for this analysis were number of songs and popularity scores per artist. This is the tutorial for one of the two workshops that I directed at the Arizona Research Bazaar 2021 (ResBaz 2021).

The aim of this procedure was to conduct a Sentiment Analysis on the song lyrics of Evanescence. We analyzed underlying themes and emotions depicted in lyrical text from this band and gained insights by computing text analysis procedures as well as visualizations. This is the tutorial for one of the two workshops that I directed at the Arizona Research Bazaar 2021 (ResBaz 2021).

The aim of this procedure was to compute a classifier model using Spotify audio features as predictors of music genres. The algorithms selected for this purpose were Random Forest, K-Nearest Neighbor, and Boosted Trees. Moreover, the evaluation metrics discussed are Precision, Recall, Area Under Curve (Roc-Auc), and Specificity. This was a preliminary analysis for one of the studies in my dissertation project.

This is just a test page to run some applications