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        "author": "Yurii Shevchuk",
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        "description": "# Naive Bayes Text Classifier\r\n\r\nText classifier based on Naive Bayes.\r\n\r\n## Instalation\r\n\r\n```bash\r\n$ pip install naive-bayes\r\n```\r\n\r\n## Usage example\r\n\r\n```python\r\nfrom naivebayes import NaiveBayesTextClassifier\r\n\r\nclassifier = NaiveBayesTextClassifier(\r\n    categories=categories_list,\r\n    stop_words=stopwords_list\r\n)\r\nclassifier.train(train_docs, train_classes)\r\npredicted_classes = classifier.classify(test_docs)\r\n```\r\n\r\n`NaiveBayesTextClassifier` is a simple wrapper around `scikit-learn` class `CountVectorizer`. You can put all arguments which support this class. For more information please check `scikit-learn` official documentation.\r\n\r\n## More examples\r\n\r\nCheck examples at `examples` folder. Before run them, install requirements in this folder.\r\n\r\nClone repository from github\r\n\r\n```bash\r\n$ git clone git@github.com:itdxer/naive-bayes.git\r\n$ cd naive-bayes/examples\r\n$ pip install -r requirements.txt\r\n```\r\n\r\nAnd run some example\r\n\r\n### Usenet 20 newsgroup\r\n\r\n```bash\r\n$ python 20newsgroup\r\n```\r\n\r\n### Kaggle IMDB reviews competition\r\n\r\n```bash\r\n$ python imdb_reviews\r\n```",
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