Sum up the number of words frequency using FreqDist, python

Question

How to sum up the number of words frequency using fd.items() from FreqDist?

>>> fd = FreqDist(text) 
>>> most_freq_w = fd.keys()[:10] #gives me the most 10 frequent words in the text
>>> #here I should sum up numbers of each of these 10 freq words appear in the text

eg if each word in most_freq_w appear 10 times, the result should be 100

!!! I don't need that number of all words in the text, just the 10 most frequent

Answer 1

I'm not familiar with nltk , but since FreqDist derives from dict , then the following should work:

v = fd.values()
v.sort()
count = sum(v[-10:])

Answer 2

To find the number of times a word appears in the corpus(your piece of text):

raw="<your file>"
tokens = nltk.word_tokenize(raw)
fd = FreqDist(tokens)
print fd['<your word here>'] 

Answer 3

It has a pretty print feature

    fd.pprint() 

will do it.

Answer 4

如果FreqDist是单词到其频率的映射：

sum(map(fd.get, most_freq_w))