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我是新的python，希望你能帮我解决这个问题，我正在使用python 3.4。计算列表中每个单词的正负字符串的数量
我有一个包含字，无论是正面或负面的名单，它的频率
这是最初的名单：
`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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什么，我要做的是计算的正数，我的列表中的每个单词都是否定的。 因此，如果负数较高，则该单词为负数。 然后，我可以拿出一个新的列表，如： 如：newList = [('hijacked','negative'),('left','negative'), . . .]
一）我尝试使用num = Count(finalSentiment).most_common()[:50]功能，并与下面的新名单出来。
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率更高。 所以，如果负数较高，我想创建一个包含单词和负数的新列表。
如：[('hijacked','negative'),('left','negative'), . . .]
每个字仅在列表或正或负。
我所尝试的是我尝试使用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]
但我无法弄清楚如何操作数据后，我访问它。
B）我用计数器（）函数，并与这个名单出来：
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})
我现在的问题是如何为例如“劫持”字比较，负的次数较高。因此，在新的列表，“劫持”应该是“负这样的： 如：newList = [('hijacked','negative'),('left','negative'), . . .]
c）或者，也许我应该算我自己的，而不是使用most_common()功能或counter()的正，负号。 我的问题来计算正数和负数是因为列表中有多个单词。如果这个词只是被正面和负面的“劫持”，我想我可以解决这个问题。
任何帮助将不胜感激。
都回答解决我的问题 –