也许这是一个愚蠢的问题，但是我在使用Python从语料库中提取十个最常见的单词时遇到了问题。这就是到目前为止。（顺便说一句，我与NLTK一起阅读一个带有两个子类别的语料库，每个子类别有10个.txt文件）
import re
import string
from nltk.corpus import stopwords
stoplist = stopwords.words('dutch')
from collections import defaultdict
from operator import itemgetter
def toptenwords(mycorpus):
words = mycorpus.words()
no_capitals = set([word.lower() for word in words])
filtered = [word for word in no_capitals if word not in stoplist]
no_punct = [s.translate(None, string.punctuation) for s in filtered]
wordcounter = {}
for word in no_punct:
if word in wordcounter:
wordcounter[word] += 1
else:
wordcounter[word] = 1
sorting = sorted(wordcounter.iteritems(), key = itemgetter, reverse = True)
return …我的文件看起来像这样:
aaien 12 13 39
aan 10
aanbad 12 13 14 57 58 38
aanbaden 12 13 14 57 58 38
aanbeden 12 13 14 57 58 38
aanbid 12 13 14 57 58 39
aanbidden 12 13 14 57 58 39
aanbidt 12 13 14 57 58 39
aanblik 27 28
aanbreken 39
...
我想用key =这个词(比如'aaien')创建一个字典,值应该是它旁边的数字列表.所以它必须这样看:{'aaien':['12,13,39'],'aan':['10']}
这段代码似乎不起作用.
document = open('LIWC_words.txt', 'r')
liwcwords = document.read()
dictliwc = {}
for line in liwcwords:
k, v = line.strip().split(' ')
answer[k.strip()] = v.strip() …