Python遞增

Question

我正在編寫一個程序，它將接受文本作爲輸入。

該程序的值爲「tone」，從0開始。 當文本中看到單詞「posfeats」中的單詞時，音調增加+1。 當在文本中看到單詞「negfeats」中的單詞時，音調遞增-1。

但是，無論輸入什麼文本，我的代碼都會返回值爲「tone」的0。我覺得這是由於我的錯誤Python編程，而不是我的算法。

下面是代碼：

import nltk.classify.util 
from nltk.classify import NaiveBayesClassifier 
from nltk.corpus import movie_reviews #importing two corpora, movie_reviews and stopwords 
from nltk.corpus import stopwords 

def word_feats(words): 
stops = dict([(word, True) for word in stopwords.words('english')]) #English stopwords 
features = dict([(word, True) for word in words if word not in stops])#features minus stopwords 
return features 

def compare(words, negfeats, posfeats): 
sentiment=0 
for word in words: 
    if word in negfeats: 
     sentiment -= 1 
    if word in posfeats: 
     sentiment += 1 
return sentiment 


negReviews = reviews.fileids('neg') 
posReviews = reviews.fileids('pos') 

negfeats = [(word_feats(reviews.words(fileids=[f])), 'neg') for f in negReviews] 
posfeats = [(word_feats(reviews.words(fileids=[f])), 'pos') for f in posReviews] 

opinion = raw_input("Why don't you tell me about a movie you watched recently?\n\n") 
tone = compare(opinion.split(), negfeats, posfeats) 
print(str(tone)) #THIS KEEPS RETURNING 0 

Answer 1

negfeats = [(word_feats(reviews.words(fileids=[f])), 'neg') for f in negReviews] 
posfeats = [(word_feats(reviews.words(fileids=[f])), 'pos') for f in posReviews] 

您的意思是在這裏有dict電話？ negfeats和posfeats是(word, 'neg')和(word, 'pos')元組的列表。 compare將在這些列表中搜索單詞並找不到任何單詞，因爲這些單詞嵌套在元組中。當然，最好使用set作爲無序集合而不需要重複。