如何找到写不同的相同职称？

如何解决如何找到写不同的相同职称？

我想找到简历上有职位名称（例如）Market Research Coordinator的人，但是他们的书写方式可能有所不同，例如：

Marketing Research Coordinator
Market Researching Coordinator
Markets Research Coordinator
Market Researches Coordinator
Marketing Research Coordinator
Markets Researchers Coordinator
Market Researcher Coordinators
Marketing Researcher Coordinators
...

如果我想与==匹配，我将不会获得很好的结果，词干和词根化也很难识别出这些差异。
另一个选择是在两个字符串(which is discussed in this question)之间使用相似性度量，但是这将非常耗时并且可能不是一个好方法，同样在此方法中，确定阈值是另一个问题。
聪明的人有个主意吗？

解决方法

我不接受词干和词根化不起作用！您可以标记您的输入。然后获取词干，并确保在市场营销的情况下，如果正确选择了语言（检查词干包装中是否正确选择了语言），您将获得市场。您还应该确保将词干应用到if语句的两个元素上！

万一有听写问题或差异很小，可以使用Levenstein程序包并接受相似度大于T的输入。

示例：

import nltk.stem.porter

p_stemmer = PorterStemmer()
print("the stem of marketing:",p_stemmer.stem('Marketing'))        
print("the stem of marketing research:",p_stemmer.stem('Marketing Research'))

，结果将为：

the stem of marketing: 'market' (correct)

the stem of marketing research: 'marketing research' (not want we want)

如您所见，如果未应用标记化，则词干提取器将无法正常工作。

我建议将所有这些（令牌化，词干和levenstein）结合起来。

,

您可以使用Python软件包textdistance计算字符串之间的归一化相似度，只有在相似度高于某个阈值时才保留它们。

import textdistance

main_job = 'Marketing Research Coordinator'

other_jobs = ['Market Researching Coordinator','Markets Research Coordinator','Market Researches Coordinator','Marketing Research Coordinator','Markets Researchers Coordinator','Market Researcher Coordinators','Marketing Researcher Coordinators','Marketing Researcher Executive','Senior Advertising Analyst']

for job in other_jobs:
    distance = textdistance.jaccard.normalized_similarity(main_job,job)
    print(f'Similarity "{main_job}" & "{job}": {distance:.3f}')

Similarity "Marketing Research Coordinator" & "Market Researching Coordinator": 1.000
Similarity "Marketing Research Coordinator" & "Markets Research Coordinator": 0.871
Similarity "Marketing Research Coordinator" & "Market Researches Coordinator": 0.844
Similarity "Marketing Research Coordinator" & "Marketing Research Coordinator": 1.000
Similarity "Marketing Research Coordinator" & "Markets Researchers Coordinator": 0.794
Similarity "Marketing Research Coordinator" & "Market Researcher Coordinators": 0.818
Similarity "Marketing Research Coordinator" & "Marketing Researcher Coordinators": 0.909
Similarity "Marketing Research Coordinator" & "Marketing Researcher Executive": 0.579
Similarity "Marketing Research Coordinator" & "Senior Advertising Analyst": 0.436

看看最后两个例子。

,

使用以下正则表达式模式检查职位是否匹配

import re
pattern = r'Market(\w*?) Research(\w*?) Coordinator'
print('Enter job title')
job_title = input()
if re.search(pattern,job_title):
    print('Job title matching with Market Research Coordinator')
else:
    print('Job title not matching with Market Research Coordinator')