TextClassifier 0.0.6.7

Short text Classifier based on Numpy,scikit-learn,Pandas,Matplotlib

A simple, efficient short-text classification tool based on Numpy,scikit-learn,Pandas,Matplotlib.

Train Data Format

type	Text
game	The LoL champions pro players would ban forever
society	In Beijing you should keep the rules
etc.	etc.

Sample Usage

>>> import TextClassifier
>>> tc = TextClassifier.classifier_container()
>>> tc.load_Data('../data/Train.txt')
>>> tc.train()

>>> print tc.predict('Faker is the first League of Legends player to earn over $1 million in prize money')
>>> [u'game']

>>> print tc.predict(['Faker is the first League of Legends player to earn over $1 million in prize money',
                    '18-year-old youth killed 88-year-old veteran',
                    'Take you into the real North Korea'])
>>> [u'game',u'society',u'world']

Installation

$ pip install TextClassifier

Links

• Code on Github