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        "author": "Maria Grigorieva",
        "author_email": "magsend@gmail.com",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "# ClusterLog: Unsupervised Clusterization of Error Messages\n\n**Input:**\n   Pandas DataFrame with error log messages\n\n**Output:**\n   Dictionary of clusters\n\n**Clusterization of error log messages is implemented as a chain of methods:**\n\n1. data_preparation - cleaning initial log messages from unnecessary substrings (UUID, line numbers,...)\n2. tokenization - split each log message into tokens (NLTK|pyonmttok)\n3. tokens_vectorization - train word2vec model\n4. sentence_vectorization - convert word2vec to sent2vec model\n5. tuning_parameters - search epsilon for the DBSCAN algorithm\n6. dbscan - execute DBSCAN clusterization, returns cluster labels\n\n",
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        "summary": "Unsupervized Error Logs Clusterization",
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