我有一个有效的代码,直到我添加了熵部分。现在它在打印行上给出了无效的语法错误。怎么样?
import nltk, math, re, numpy
from nltk import word_tokenize
from nltk.tokenize import RegexpTokenizer
def entropy(labels):
freqdist = nltk.FreqDist(labels)
probs = [freqdist.freq(1) for l in freqdist]
return -sum(p * math.log(p,2) for p in probs)
def sents():
fileObj = open('1865-Lincoln.txt', 'r')
text = fileObj.read()
tokens = nltk.sent_tokenize(text)
for name in tokens:
words = ' '.join(name.split()[:4])
count = len(name.split())
entro = entropy(len(name.split())
print('{:<35} {:^15} {:>15}'.format(words, count, entro))
答案 0 :(得分:2)
There is a closing bracket missing in the line above:
entro = entropy(len(name.split()))