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unsupervised-learning-on-songs-data

The data contains over 5k songs with the information about "artist","link of the songs","name of the song","song text"

Based on the text of the songs data, I separted the songs into different groups by using K means clustering model and used dimension reduction tools such as LSA to 50 features and 2 features separately and visulize the words from each group by using word cloud.

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