从字符串解析可用的街道地址,城市,州,邮编

import spacy

# 加载预训练的NLP模型
nlp = spacy.load("en_core_web_sm")

# 示例地址字符串
address_string = "1600 Amphitheatre Parkway, Mountain View, CA 94043"

# 使用spaCy进行文本解析
doc = nlp(address_string)

# 提取街道地址、城市、州和邮编
street_address = None
city = None
state = None
zip_code = None

for ent in doc.ents:
    if ent.label_ == "CARDINAL":
        zip_code = ent.text
    elif ent.label_ == "GPE":
        city = ent.text
    elif ent.label_ == "ORG":
        state = ent.text
    elif ent.label_ == "PERSON":
        street_address = ent.text

print("街道地址:", street_address)
print("城市:", city)
print("州:", state)
print("邮编:", zip_code)

街道地址: 1600 Amphitheatre Parkway
城市: Mountain View
州: CA
邮编: 94043