计算列表中每个单词的正负字符串数

Question

我是 python 新手，希望你能帮我解决这个问题，我正在使用 python 3.4。

我有一个包含单词的列表，无论是肯定的还是否定的，它的频率

这是原始列​​表：

`finalSentiment = [('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'),  ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 'negative'), ('hijacked', 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我要做的是从我拥有的列表中计算每个单词的正数和负数。 因此，如果否定的数量较高，则该词是否定的。 然后我可以拿出一个新的列表，比如： 例如：newList = [('hijacked','negative'),('left','negative'), . . .]

a) 我尝试使用num = Count(finalSentiment).most_common()[:50] 函数并得到如下新列表。

num =  [(('hijacked', 'negative'), 302), (('left', 'negative'), 88), (('one', 'negative'), 79), (('befo', 'negative'), 72), (('radical', 'negative'), 70), (('tcot', 'negative'), 70), (('tanker', 'negative'), 55), (('like', 'negative'), 47), (('right', 'negative'), 36), (('oil', 'negative'), 26), (('hijacked', 'positive'), 22), (('pirates', 'negative'), 21), (('people', 'negative'), 21), (('terrorist', 'negative'), 21), (('loony', 'negative'), 18), (('morons', 'negative'), 18), (('get', 'negative'), 17), (('account', 'negative'), 12), (('flag', 'negative'), 11), (('time', 'negative'), 10), (('angry', 'negative'), 9), (('like', 'positive'), 8), (('day', 'negative'), 8), (('know', 'negative'), 8), (('dem', 'negative'), 7), (('tanker', 'positive'), 7), (('long', 'negative'), 6), (('left', 'positive'), 6), (('driver', 'negative'), 6), (('one', 'positive'), 6), (('got', 'negative'), 6), (('tcot', 'positive'), 5), (('radical', 'positive'), 5), (('befo', 'positive'), 5), (('pirates', 'positive'), 3), (('live', 'negative'), 3), (('oil', 'positive'), 2), (('time', 'positive'), 2), (('pay', 'negative'), 2), (('none', 'positive'), 1), (('people', 'positive'), 1), (('morons', 'positive'), 1), (('long', 'positive'), 1), (('account', 'positive'), 1), (('mt', 'negative'), 1), (('got', 'positive'), 1), (('day', 'positive'), 1), (('loony', 'positive'), 1), (('know', 'positive'), 1), (('fathers', 'negative'), 1)]

我想要做的是比较正面或负面的词频更高。 因此，如果负数更高，我想创建一个包含单词和负数的新列表。

例如：[('hijacked','negative'),('left','negative'), . . .]

每个单词在列表中只有正面或负面。

我尝试使用 for 循环访问列表中的每个项目。

for item in num:

        unique_word = item[0]
        temp = unique_word[0]
        temp1 = unique_word[1]
        frequency = item[1]

但我不知道如何在访问数据后对其进行操作。

b) 我使用 counter() 函数并得出这个列表：

cnt = Counter()
for word in finalSentiment:
    cnt[word] += 1
print(cnt)

Counter({('hijacked', 'negative'): 302, ('left', 'negative'): 88, ('one', 'negative'): 79, ('befo', 'negative'): 72, ('tcot', 'negative'): 70, ('radical', 'negative'): 70, ('tanker', 'negative'): 55, ('like', 'negative'): 47, ('right', 'negative'): 36, ('oil', 'negative'): 26, ('hijacked', 'positive'): 22, ('pirates', 'negative'): 21, ('terrorist', 'negative'): 21, ('people', 'negative'): 21, ('morons', 'negative'): 18, ('loony', 'negative'): 18, ('get', 'negative'): 17, ('account', 'negative'): 12, ('flag', 'negative'): 11, ('time', 'negative'): 10, ('angry', 'negative'): 9, ('like', 'positive'): 8, ('day', 'negative'): 8, ('know', 'negative'): 8, ('dem', 'negative'): 7, ('tanker', 'positive'): 7, ('got', 'negative'): 6, ('left', 'positive'): 6, ('one', 'positive'): 6, ('driver', 'negative'): 6, ('long', 'negative'): 6, ('radical', 'positive'): 5, ('befo', 'positive'): 5, ('tcot', 'positive'): 5, ('pirates', 'positive'): 3, ('live', 'negative'): 3, ('time', 'positive'): 2, ('pay', 'negative'): 2, ('oil', 'positive'): 2, ('mt', 'negative'): 1, ('loony', 'positive'): 1, ('morons', 'positive'): 1, ('long', 'positive'): 1, ('got', 'positive'): 1, ('sadly', 'negative'): 1, ('day', 'positive'): 1, ('none', 'positive'): 1, ('fathers', 'negative'): 1, ('account', 'positive'): 1, ('malaysia', 'negative'): 1, ('right', 'positive'): 1, ('people', 'positive'): 1, ('know', 'positive'): 1, ('look', 'positive'): 1})

我现在遇到的问题是如何比较“劫持”这个词，否定的数量更高。所以在新列表中，“hijacked”应该是“negative”，这样： 例如：newList = [('hijacked','negative'),('left','negative'), . . .]

c) 或者我应该自己计算正数和负数，而不是使用most_common() 函数或counter()。 我计算正负数的问题是因为列表中有多个单词。如果这个词只是被“劫持”并附有正面和负面的，我想我可以解决这个问题。

任何帮助将不胜感激。

Answer 1

from collections import Counter

counts = Counter(finalSentiment)

output = [] 
for word in set(w for w, s in finalSentiment):
    if counts.get((word, 'positive'), 0) > counts.get((word, 'negative'), 0):
        output.append((word, 'positive'))
    else:
        output.append((word, 'negative'))

Answer 2

from collections import Counter
finalSentiment = [('a','negative'),('a','negative'),('a','positive'),('b','positive')]
cnt = Counter(finalSentiment)
noDups = list(set([x[0] for x in set(finalSentiment)]))
newList =[]
for each in noDups:
    if cnt[(each,'positive')] > cnt[(each,'negative')]:
        newList.append((each,'positive'))
    else:
        newList.append((each,'negative'))

newList:

[('a', 'negative'), ('b', 'positive')]