Skip to main content

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

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

naive-bayes-0.1.1.tar.gz (1.8 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page