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Have you ever thought about what makes up a hit song?

Could it be its lyrics? Its social media response? Or is it as simple as its duration?

In an attempt to answer these questions, I will develop a Twitter bot on Python that uses a random forest classification model to predict a song’s popularity based on social media sentiment, lyric analysis, streaming, and past Billboard chart data. I will be collecting social media data from Twitter through GetOldTweets3, lyric data from Genius using LyricsGenius, streaming data from Spotify through Spotipy, and past chart data from Billboard through Billboard.py.

Additionally…

Punit Khiyara

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