A Big Data Python project which develops a random forest classification model that determines and predicts a song’s popularity based on social media sentiment, streaming data, past Billboard charting data, and lyric sentiment analysis and topic modeling. Once developed, it posts the results on Twitter through an automated Twitter Bot.