安装spacy

import spacy

# 加载语言模型
nlp = spacy.load('en_core_web_sm')

# 文本处理
text = "Spacy is a powerful NLP library."
doc = nlp(text)

# 词法分析
for token in doc:
    print(token.text, token.lemma_, token.pos_, token.tag_, token.dep_, token.shape_, token.is_alpha, token.is_stop)

# 命名实体识别
for entity in doc.ents:
    print(entity.text, entity.label_)

# 词向量表示
word = doc[0]
print(word.text, word.vector)

# 句法分析
for chunk in doc.noun_chunks:
    print(chunk.text, chunk.root.text, chunk.root.dep_, chunk.root.head.text)

# 语义相似度
doc1 = nlp("I like cats")
doc2 = nlp("I love dogs")
similarity = doc1.similarity(doc2)
print(similarity)