从字典创建字典

Question

我正在尝试创造一种“字典”。第一级字典是一个词频键值对。由下面的for循环创建，'cleaned_words_string‘是保存我正在分析的文本的字符串，对于每个商店都是唯一的。

        stop_words = set(stopwords.words('english'))

        word_tokens = word_tokenize(cleaned_word_string)

        filtered_sentence = [w for w in word_tokens if not w in stop_words]

        filtered_sentence = []

        for w in word_tokens:
            if w.lower() not in stop_words:
                filtered_sentence.append(w)

        fw_freq = nltk.FreqDist(filtered_sentence).most_common()

        freq_dict = dict(fw_freq)

如何修改此代码，使每个单独的“storename”都附加到其freq_dict？

类似于：

Store_dict = {storename: freq_dict}

这样输出将是：

Store_dict {'Target'：freq_dict，'WalMart':freq_dct等}

Answer 1

// I suppose your store of sentences is in this format
store = {'store_name': cleaned_word_string}


store_dict = {}
for store_name in store:
    store_dict[store_name] = get_freq_dict(store_dict[store_name])


def get_freq_dict(cleaned_word_string):

    stop_words = set(stopwords.words('english'))
    word_tokens = word_tokenize(cleaned_word_string)
    filtered_sentence = [w for w in word_tokens if not w in stop_words]
    fw_freq = nltk.FreqDist(filtered_sentence).most_common()
    freq_dict = dict(fw_freq)
    return freq_dict