python - 电子邮件地址和姓名之间的单词相似度

Question

我的问题与简单的单词相似度有点不同。问题是是否有任何算法可用于计算邮件地址和名称之间的相似度。

    for example:
    mail Abd_tml_1132@gmail.com
    Name Abdullah temel
    levenstein,hamming distance  11
    jaro distance  0.52

但很可能，这个邮件地址属于这个名字。

Answer 1

没有直接包，但这可以解决你的问题:

将电子邮件 ID 放入列表

a = 'Abd_tml_1132@gmail.com'
rest = a.split('@', 1)[0] # Removing @
result = ''.join([i for i in rest if not i.isdigit()]) ## Removing digits as no names contains digits in them
list_of_email_words =result.split('_') # making a list of all the words. The separator can be changed from _ or . w.r.t to email id
list_of_email_words = list(filter(None, list_of_email_words )) # remove any blank values

为列表命名:

b = 'Abdullah temel'
list_of_name_words =b.split(' ')

对两个列表应用模糊匹配:

score =[]
for i in range(len(list_of_email_words)):
    for j in range(len(list_of_name_words)):
        d = fuzz.partial_ratio(list_of_email_words[i],list_of_name_words[j])
        score.append(d)

现在您只需要检查 score 的任何元素是否大于您可以定义的阈值。例如:

threshold = 70
if any(x>threshold for x in score):
    print ("matched")