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Final project for the Advanced Big Data Analytics course at Columbia University

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Myusic

Check it out on YOUTUBE @ ⁠⁠⁠⁠⁠⁠⁠⁠https://youtu.be/ifAQwRXvf-M

Song Clustering and Recommendation based on Lyrics. Clustering done using Latent Dirichlet Allocation (LDA) topic model. Powered on the front-end by Materialize and High charts!

Features

Homepage of the responsive application.

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Clicking on any of the topics in the Wordcloud reveals the top-10 songs in that cluster.Click on any of the songs to view the lyrics.

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Songs are recommended based on name of a song or the lyrics of a song. This is where the clusters formed by LDA are used.

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And some cool visualizations on word statistics and emotion extraction to top it all up!

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Final project for the Advanced Big Data Analytics course at Columbia University

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