如何统计每个句子分数每个单词在句子中出现的次数?

How to count the number of occurrences of each word in a sentence for each sentence score?

我有一份用户调查文档:

Score    Comment
8        Rapid bureaucratic affairs. Reports for policy...
4        There needs to be communication or feed back f...
7        service is satisfactory
5        Good
5        There is no
10       My main reason for the product is competition ...
9        Because I have not received the results. And m...
5        no reason

我想判断哪些关键词对应高分,哪些关键词对应低分。

我的想法是构建一个 table 的单词(或者,一个 "word vector" 字典),其中将包含与之关联的分数,以及该分数被使用的次数与那句话相关联。

类似于以下内容:

Word        Score   Count
Word1:      7       1
            4       2
Word2:      5       1
            9       1
            3       2
            2       1
Word3:      9       3
Word4:      8       1
            9       1
            4       2
...         ...     ...

然后,对于每个单词,平均分数是该单词关联的所有分数的平均值。

为此,我的代码如下:

word_vec = {}
# col 1 is the word, col 2 is the score, col 3 is the number of times it occurs

for i in range(len(data)):
    sentence = data['SurveyResponse'][i].split(' ')
    for word in sentence:
        word_vec['word'] = word
        if word in word_vec:
            word_vec[word] = {'Score':data['SCORE'][i], 'NumberOfTimes':(word_vec[word]['NumberOfTimes'] += 1)}
        else:
            word_vec[word] = {'Score':data['SCORE'][i], 'NumberOfTimes':1}

但是这段代码给我以下错误:

File "<ipython-input-144-14b3edc8cbd4>", line 9
    word_vec[word] = {'Score':data['SCORE'][i], 'NumberOfTimes':(word_vec[word]['NumberOfTimes'] += 1)}
                                                                                                  ^
SyntaxError: invalid syntax

有人可以告诉我正确的方法吗?

试试这段代码

word_vec = {}
# col 1 is the word, col 2 is the score, col 3 is the number of times it occurs

for i in range(len(data)):
    sentence = data['SurveyResponse'][i].split(' ')
    for word in sentence:
        word_vec['word'] = word
        if word in word_vec:
            word_vec[word]['Score'] += data['SCORE'][i] # Keep accumulating the total score for each word, would be easier to find the average score later on
            word_vec[word]['NumberOfTimes'] += 1
        else:
            word_vec[word] = {'Score':data['SCORE'][i], 'NumberOfTimes':1}

要增加'NumberOfTimes'的值,可以这样直接增加word_vec[word]['NumberOfTimes'] += 1

您可以使用收款柜台。它允许计算每个单词出现的次数。

举个例子:

 from collections import Counter

 c = Counter(["jsdf","ijoiuj","je","oui","je","non","oui","je"])

 print(c)

结果:

Counter({'je': 3, 'oui': 2, 'ijoiuj': 1, 'jsdf': 1, 'non': 1})

您从文档中提取单词并将它们放入列表中。最后,该列表将由计数器处理以计算每个单词的出现次数。