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Time stamp: 02:33:59-3/12/2024

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


Darren O'Callaghan

13/05/2021

Supervised by Dr Daniela Tsaneva; Moderated by Víctor Gutiérrez Basulto

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.


Initial Plan (07/02/2021) [Zip Archive]

Final Report (13/05/2021) [Zip Archive]

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