一站式网上办事大厅

import nltk

from nltk.classify import NaiveBayesClassifier

# 示例数据

training_data = [

('我要办理身份证', 'ID'),

('我要申请结婚证', 'Marriage'),

('我要查询社保', 'SocialSecurity')

]

# 特征提取函数

def extract_features(text):

return {word: True for word in text.split()}

# 准备训练数据

featuresets = [(extract_features(text), label) for (text, label) in training_data]

# 训练分类器

classifier = NaiveBayesClassifier.train(featuresets)

# 测试

test_text = "我要办理护照"

print(classifier.classify(extract_features(test_text)))