Genre Classification of Spotify Songs using Lyrics, Audio Previews, and Album Artwork
نویسنده
چکیده
This paper is an attempt to attack the problem of genre classification of music from a variety of angles. Three different types of data (song previews, album artwork, and lyrics) are used to train three models (a Recurrent Neural Network, k-Nearest Neighbors, and Naive Bayes, respectively) and the outputs of the three are again combined to classify a given song. The combined model was able to achieve 91.75 percent accuracy on the test set.
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