Digital Art and Keywords

Data science project that analyzes the relationship between DeviantArt content popularity and the keywords contained in their captions with Python, primarily in DeviantArt API, NumPy, Seaborn, MatPlotLib, and SciPy. Completed as part of COGS 108: Data Science in Practice class at the University of California, San Diego. When analyzing the relationship between caption keywords and popularity, we found to be a weak positive correlation between the two, suggesting that other factors such as follower count and overall visibility on the platform play a (possible) bigger role than captions themselves.

Source code can be found here.