简单的CoreNLP -如何将所有的名词放到一个数组中？

from stanfordcorenlp import StanfordCoreNLP

# 初始化CoreNLP
nlp = StanfordCoreNLP('path_to_corenlp')

# 待处理的文本
text = "I love natural language processing."

# 进行词性标注
result = nlp.annotate(text, properties={
  'annotators': 'pos',
  'outputFormat': 'json'
})

# 存储名词的数组
nouns = []

# 遍历句子和词语
for sentence in result['sentences']:
  for word in sentence['tokens']:
    # 获取词性
    pos = word['pos']
    # 如果词性是名词，则添加到数组中
    if pos.startswith('NN'):
      nouns.append(word['word'])

# 打印结果
print(nouns)

# 关闭CoreNLP
nlp.close()