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// 安装
pip install spacy
// 下载模块
python -m spacy download en_core_web_sm

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# 1. load model
import spacy
nlp = spacy.load("en_core_web_sm")  # lang

# 2. parse
# Doc 对象是 spaCy 里的基础 statement 对象
analyzed = nlp("I shot an elephant in my pajamas.") # Doc object

# 3. Visualizing
spacy.displacy.render(analyzed, options={'distance':100})

# 4. explain 某个标签
print(spacy.explain('poss'))
# possession modifier

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# 打印进阶信息
for token in doc:
    print(token.text, token.lemma_, token.pos_, token.tag_, token.dep_, token.shape_, token.is_alpha, token.is_stop, sep='\t')

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from spacy import displacy
displacy.render(doc)