Discovery of the recent music trends based on Sentiment Analysis in Twitter or Spotify

Wenjie Chen


Supervised by Dr Daniela Tsaneva; Moderated by Hantao Liu

Music industry is moving fast, and new trends are emerging quickly. This project will work on predicting the new trends in music genres based on Sentiment Analysis in Twitter or Spotify. By analyzing the sentiments of the users automatically we can provide statistical information about the music genre which is favorite to most of them and based on that make a prediction of future music trends. Good Python programming skills is required for this project since a Sentiment Analysis classifier needs to be developed requiring NLP and data analysis.

Final Report (04/11/2021) [Zip Archive]

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