joenahm
commented
2 years ago yes你可以，但又不完全可以，就是最后的通过词性过滤 pynlpir 是没有的，不过你可以自己手动过滤
以下内容来自pynlpir的文档（https://pynlpir.readthedocs.io/en/latest/api.html#pynlpir.get_key_words）：
pynlpir.get_key_words(s, max_words=50, weighted=False)
Determines key words in Chinese text s.
The key words are returned in a list. If weighted is True, then each list item is a tuple: (word, weight), where weight is a float. If it’s False, then each list item is a string.
This uses the function GetKeyWords() to determine the key words in s.
Parameters:
s – The Chinese text to analyze. s should be Unicode or a UTF-8 encoded string.
max_words (int) – The maximum number of key words to find (defaults to 50).
weighted (bool) – Whether or not to return the key words’ weights (defaults to True).
About pynlpir.get_key_words(s,w), can I specify the type of output like jieba does. For example only get the noun keywords. "jieba.analyse.extract_tags(s, topK = 10, withWeight = False, allowPOS = ('n'))"