FTC - Fuzzy Text Classifier

A fuzzy classifier library for natural language text. Github-Repo

Simple usage example

#import library
from fuzzy_text_classifier import TextClassifier  

#instantiate class
tc = TextClassifier()

#train the classifier with some documents
doc1 = 'some text document about sport'
doc2 = 'another text document about cinema'
doc3 = 'another one text document music'

tc.train(doc1, 'sport')
tc.train(doc2, 'cinema')
tc.train(doc3, 'music')

#classify a document
doc = 'a document about sport to classify'
ranking = tc.classify(doc)

ranking will be an object like

[{'sport': 1.0}, {'cinema': 0.6666666666666666}, {'music': 0.3333333333333333}]

a list ordered by similarity where the key is the category and the value is the degree of similarity between the document and the category.