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在字典中查找/映射多個鍵並添加到列表中

[英]lookup/map multiple keys in a dictionary and add to a list

我目前的代碼:

from nltk.tag import pos_tag, map_tag
search_term = 'quaker lemon banana oatmeal'
lst = []
search_term_words = search_term.split()
for w in search_term_words:
  if w in flavor_grocer_mapping:
      for flavor in flavor_grocer_mapping[w]:
          if flavor in search_term:
              lst.append((flavor, 'FLAVOR'))
              for x in search_term.replace(flavor, '').split(): 
                  if x in brand_grocer_mapping:
                      for brand in brand_grocer_mapping[x]:
                          if brand in search_term.replace(flavor, '').split():
                              lst.append((brand, 'BRAND'))
                              for word, tag in pos_tag(word_tokenize(search_term.replace(flavor, '').replace(brand, '').strip())):
                                  lst.append((word, map_tag('en-ptb', 'universal', tag)))

結果我得到了:

[('lemon', 'FLAVOR'), 
 ('quaker', 'BRAND'),
 ('banana', 'NOUN'), 
 ('oatmeal', 'NOUN'),
 ('banana', 'FLAVOR'),
 ('quaker', 'BRAND'),
 ('lemon', 'ADJ'),
 ('oatmeal', 'NOUN')]

我的預期結果是:

[('lemon', 'FLAVOR'),
 ('banana', 'FLAVOR'),
 ('quaker', 'BRAND'),
 ('oatmeal', 'NOUN')]

我知道問題是搜索術語中的分裂單詞在for循環中遞歸運行。 如何在字典中查找/映射包含多個鍵的整個字符串? (例如, lemonbanana在搜索詞字符串中,它們是flavor_grocer_mapping字典中的鍵。)

好吧,我試圖根據你的結果重新創建flavor_grocer_mapping ,你需要額外的查找代碼。 相反,由於您有一個與search_term_words對應的字典作為鍵,因此在列表search_term_words中進行正確的字典查找。

search_term = 'quaker lemon banana oatmeal'
search_term_words = search_term.split()

#recreating your dictionary
flavor_grocer_mapping = [('lemon', 'FLAVOR'),
                         ('banana', 'FLAVOR'),
                         ('quaker', 'BRAND'),
                         ('oatmeal', 'NOUN')]
flavor_grocer_mapping = {k:v for (k,v) in flavor_grocer_mapping} 

#solution
results = [(word,flavor_grocer_mapping[word]) for word in search_term_words]
results
>>[('quaker', 'BRAND'),
 ('lemon', 'FLAVOR'),
 ('banana', 'FLAVOR'),
 ('oatmeal', 'NOUN')]

對於您提供的示例,我建議您將所有字典合並為1而不是重復循環它們。

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