文本挖掘:查询搜索

问题描述 投票:1回答:3

我有一本字典:

{'Farage': [0, 5, 9, 192,233,341],
 'EU': [0, 1, 5, 6, 9, 23]}

Query1: “Farage” and “EU”
Query2: “Farage” or “EU”

我需要返回包含这些查询的文档。例如,对于query1,答案应为[0,5,9]。我相信答案应该是这样的,但在python中:

final_list = []
while x≠Null and y≠Null
    do if docID(x)=docID(y)
       then ADD(final_list, docID(x))
          x← next(x)
          y ←next(y)
        else if docID(x) < docID(y)
          then x← next(x)
          else y ←next(y)
return final_list

请帮忙。

python text-mining
3个回答
1
投票

您可以创建一个dict运算符并抛出set运算以获得最终结果。它假定查询遵循key1 operator key2 operator key3的严格规则

对于任意数量的参数

import operator
d1={'Farage': [0, 5, 9, 192,233,341],
    'EU': [0, 1, 5, 6, 9, 23],
    'hopeless': [0, 341, 19999]}

d={'and':operator.and_,
  'or':operator.or_}

Queries= ['Farage and EU','Farage and EU or hopeless','Farage or EU']

for query in Queries:
    res=set()
    temp_arr = query.split()
    k1 = temp_arr[0]

    for value in range(1,len(temp_arr),2):
        op = temp_arr[value]
        k2 = temp_arr[value+1]
        if res:
            res = d[op](res, set(d1.get(k2, [])))
        else:
            res = d[op](set(d1.get(k1, [])), set(d1.get(k2, [])))
    print(res)

产量

set([0, 9, 5])
set([0, 192, 5, 233, 9, 19999, 341])
set([0, 192, 5, 6, 1, 233, 23, 341, 9])

1
投票

您可以使用sets创建自己的函数,这是Python提供的结构,通过加快joiningintersecting元素序列的过程,最适合您的情况:

def getResults(s, argument):
    s = list(s.values())
    if argument == 'OR':
        result = s[0]
        for elem in s[1:]:
            result = sorted(set(result).union(set(elem)))
        return result
    elif argument == 'AND':
        result = s[0]
        for elem in s[1:]:
            result = sorted(set(result).intersection(set(elem)))
        return result
    else:
        return None

inDict = {'Farage': [0, 5, 9, 192,233,341], 'EU': [0, 1, 5, 6, 9, 23]}

query1 = getResults(inDict, 'AND')
query2 = getResults(inDict, 'OR')

print(query1)
print(query2)

结果:

[0, 5, 9]
[0, 1, 5, 6, 9, 23, 192, 233, 341]

注意:如果您不想进行任何排序,可以删除sorted函数。


0
投票

请记住,使用转换成集:

>>> d = {'Farage': [0, 5, 9, 192, 233, 341] , 'EU': [0, 1, 5, 6, 9, 23]}
>>> d
{'EU': [0, 1, 5, 6, 9, 23], 'Farage': [0, 5, 9, 192, 233, 341]}
>>>
>>> set(d['EU']) | set(d['Farage'])
{0, 1, 192, 5, 6, 9, 233, 341, 23}
>>>
>>> set(d['EU']) & set(d['Farage'])
{0, 9, 5}
>>>
>>> set(d['EU']) ^ set(d['Farage'])
{192, 1, 23, 233, 341, 6}
>>>
>>> set(d['EU']) - set(d['Farage'])
{1, 6, 23}

或者如果字典可以直接以集合的形式更改输入的格式,即:

>>> d = {'Farage': {0, 5, 9, 192, 233, 341}, 'EU': {0, 1, 5, 6, 9, 23}}
>>> d['EU'] & d['Farage']
{0, 9, 5}
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