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Naive Bayes Text Classification

Project Description
# Naive Bayes Text Classifier

Text classifier based on Naive Bayes.

## Instalation

$ pip install naive-bayes

## Usage example

from naivebayes import NaiveBayesTextClassifier

classifier = NaiveBayesTextClassifier(
classifier.train(train_docs, train_classes)
predicted_classes = classifier.classify(test_docs)

`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.

## More examples

Check examples at `examples` folder. Before run them, install requirements in this folder.

Clone repository from github

$ git clone
$ cd naive-bayes/examples
$ pip install -r requirements.txt

And run some example

### Usenet 20 newsgroup

$ python 20newsgroup

### Kaggle IMDB reviews competition

$ python imdb_reviews
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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
naive-bayes-0.1.1.tar.gz (1.8 kB) Copy SHA256 Checksum SHA256 Source Apr 25, 2015

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