相关疑难解决方法(0)

我有以下代码

import nltk, os, json, csv, string, cPickle
from scipy.stats import scoreatpercentile

lmtzr = nltk.stem.wordnet.WordNetLemmatizer()

def sanitize(wordList): 
answer = [word.translate(None, string.punctuation) for word in wordList] 
answer = [lmtzr.lemmatize(word.lower()) for word in answer]
return answer

words = []
for filename in json_list:
    words.extend([sanitize(nltk.word_tokenize(' '.join([tweet['text'] 
                   for tweet in json.load(open(filename,READ))])))])

我写的时候,我在一个单独的testing.py文件中测试过2-4行

import nltk, os, json, csv, string, cPickle
from scipy.stats import scoreatpercentile

wordList= ['\'the', 'the', '"the']
print wordList
wordList2 = [word.translate(None, string.punctuation) for word in wordList]
print wordList2
answer = [lmtzr.lemmatize(word.lower()) for word …