Error message: ValueError: too many values to unpack in Frequecy distribution of NLTK

Question

我收到 ValueError 错误：对于以下代码，要解压的值太多（预期为 2）。不知道是不是名词太多算的。

from nltk.corpus import brown
import nltk

tagged_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)

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错误：

Traceback (most recent call last):

File "C:\Users\Word2Vec.py", line 12, in module


for word, tag in nouns:

ValueError: too many values to unpack (expected 2)

Answer 1

下面的代码会给出神秘类名词在棕色语料库中出现的频率。

from nltk.corpus import brown
from nltk import FreqDist

tagged_words = brown.tagged_words(categories='mystery')

# get list of lowercased nouns    
nouns = [word[0].lower() for word in tagged_words if word[1] in ['NP', 'NN']]    
nouns_freq = FreqDist(nouns)

Error message: ValueError: too many values to unpack in Frequecy distribution of NLTK

Error message: ValueError: too many values to unpack in Frequecy distribution of NLTK

python

nlp

machine-learning

nltk