Question

我是python的新手，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，无论是正面还是负面，还有它的频率

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', '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', 'negative'), ('hijacked', 'negative'), 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'negative'), ('terrorist', 'negative'), ('terrorist', 'negative'), ('terrorist', 'negative'), ('terrorist', 'negative'), ('terrorist', 'negative'), ('terrorist', 'negative'), ('terrorist', 'negative'), ('terrorist', 'negative'), ('know', 'negative'), ('know', 'negative'), ('know', 'negative'), ('know', 'negative'), ('know', 'negative'), ('know', 'negative'), ('know', 'negative'), ('know', 'negative'), ('know', 'negative'), ('driver', 'negative'), ('driver', 'negative'), ('driver', 'negative'), ('driver', 'negative'), ('driver', 'negative'), ('driver', 'negative'), ('angry', 'negative'), ('angry', 'negative'), ('angry', 'negative'), ('angry', 'negative'), ('angry', 'negative'), ('angry', 'negative'), ('angry', 'negative'), ('angry', 'negative'), ('angry', 'negative'), ('live', 'negative'), ('live', 'negative'), ('live', 'negative'), ('dem', 'negative'), ('dem', 'negative'), ('dem', 'negative'), ('dem', 'negative'), ('dem', 'negative'), ('dem', 'negative'), ('dem', 'negative')]`

我要做的是从我所拥有的列表中计算每个单词的正数和负数。因此，如果负数的数字较高，则该字为负数。然后我可以提出一个新列表，如：例如：newList = [('hijacked','negative'),('left','negative'), . . .]

a）我尝试使用num = Count(finalSentiment).most_common()[:50]功能，并推出新的列表，如下所示。

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)]

我想要做的是比较单词频率正面或负面更高。因此，如果负数较高，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。

我尝试的是尝试使用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]

但我无法弄清楚在访问数据后如何操作数据。

b）我使用counter（）函数并列出这个列表：

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将“劫持”这个词作为例子进行比较，否定的数字更高。因此，在新的列表中，＆＃39;被劫持＆＃39;应该是否定的，这样：例如：newList = [('hijacked','negative'),('left','negative'), . . .]

c）或者我可以自己计算正面和负面的数量，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。如果这个词只被“劫持”。正面和负面附加我认为我可以解决问题。

非常感谢任何帮助。

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')]

计算列表中每个单词的正负字符串数

2 个答案: