我怎样才能让词云一起出现？

Question

编辑"please focus the answer only for example below, no broad scenarios"

好的。我读过词云。但我想知道如何在字符串变量中表示最常一起出现的单词，如下例所示？:

Var_x
wireless problems, migration to competitor
dissatisfied customers, technicians visits scheduled
call waiting, technicians visits
bad customer experience, wireless problems

所以我想要的是：（"wireless problems" 和 "technicians visits"）在云中的表示。如何做到这一点？

Answer 1

这段代码产生了相邻词的频率分布，可以作为底层词云数据：

from nltk import bigrams, FreqDist
from nltk.tokenize import RegexpTokenizer
from operator import itemgetter

sent = 'wireless problems, migration to competitor\n\
dissatisfied customers, technicians visits scheduled\n\
call waiting, technicians visits\n\
bad customer experience, wireless problems'

tokenizer = RegexpTokenizer(r'\w+')
sent_words = tokenizer.tokenize(sent)
freq_dist = FreqDist(bigrams(sent_words))

for k,v in sorted(freq_dist.items(), key=itemgetter(1), reverse=True):
    print(k,v)

输出

('technicians', 'visits') 2
('wireless', 'problems') 2
('dissatisfied', 'customers') 1
('bad', 'customer') 1
('scheduled', 'call') 1
('competitor', 'dissatisfied') 1
('migration', 'to') 1
('to', 'competitor') 1
('visits', 'scheduled') 1
('call', 'waiting') 1
('problems', 'migration') 1
('waiting', 'technicians') 1
('customers', 'technicians') 1
('customer', 'experience') 1
('experience', 'wireless') 1
('visits', 'bad') 1

我怎样才能让词云一起出现？

How can i make cloud of words occuring together?

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