我遇到了错误：ValueError: 解包的值过多（预期2个），这是针对下面的代码。我不确定是否是因为名词数量过多导致的。

from nltk.corpus import brownimport nltktagged_words = brown.tagged_words(categories='mystery')for word, tag in tagged_words:   if any(noun_tag in tag for noun_tag in ['NP', 'NN']):       nouns=(word,tag)for word, tag in nouns:   nouns_freq =nltk.FreqDist(word)

请提供建议

错误：

Traceback (most recent call last):File "C:\Users\\Word2Vec.py", line 12, in modulefor word, tag in nouns:ValueError: too many values to unpack (expected 2)

回答：

以下代码将为您提供布朗语料库中神秘类型名词的频率。

from nltk.corpus import brownfrom nltk import FreqDisttagged_words = brown.tagged_words(categories='mystery')# 获取小写名词列表    nouns = [word[0].lower() for word in tagged_words if word[1] in ['NP', 'NN']]    nouns_freq = FreqDist(nouns)