如何在python的文本分析中找到连接词？

Question

我想检查python文本分析中2个单词之间的连接。当前使用python中的NLTK包。

例如， "Text = "研究人员提出了成千上万种特定的网络类型，以对现有模型进行修改或调整。

在这里，如果我以networks和researchers身份输入，那么我应该以“提议者”或“研究人员提议的网络”形式输出

Answer 1

你可以在两个词之间匹配正则表达式

import re

word_one = "networks"
word_two = "researchers"

string = "There are thousands of types of specific networks proposed by researchers as modifications or tweaks to existing models"

result = re.search(f'{word_one}(.+?){word_two}', string)
print(result.group(1))

Answer 2

汤姆的答案更干净。 这是我的回答，没有其他库

找到每个单词的位置，然后使用这些位置提取它

text = "There are thousands of types of specific networks proposed by researchers as modifications or tweaks to existing models"

word1 = "networks"
word2 = "researchers"

start = text.find(word1)
end = text.find(word2)

if start != -1 and end != -1 and start < end:
    print(text[start + len(word1):end])