This project uses unstructured text data to create a recommendation system based on artist descriptions. The documents, available in the lastfmapi_biographies folder, are cleaned with SpaCy and vectorized with a TF-IDF transformer. Document similarity is computed with cosine similarity, which calculates the top ten most similar artists in the dataset. The code is available in the notebook MusicianMatcher.ipynb.
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kelseymour/Musician-Matcher
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This project uses unstructured text data to create a recommendation system based on artist descriptions.
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