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Development of the Music Recommender System Based on Lyrics Analysis

Student: Elizarova Alexandra

Supervisor: Nikolay Karpov

Faculty: Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod)

Educational Programme: Computational Linguistics (Master)

Year of Graduation: 2016

The following master thesis presents a study and application of unsupervised machine learning methods for solving the problem of music playlists generation based on the content proximity of audio texts. The practical value of this research lies in the ability to use the obtained results for the implementation of applications or web sites that create personalized themed playlists based on the user's personal collection.

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