在文档中搜索短语

迭代列表 s 并检查字符串中是否有元素。

演示:

data = """
 Automatic Product Title Tagging  
 Aim: To automate the process of product title tagging using manually tagged data.
 ROUTE OPTIMIZATION – Spring Clean
 Aim:  Minimizing the overall travel time using optimization techniques.
 CUSTOMER SEGMENTATION:
 Aim:  Develop an engine which segments and provides the score for  
       customers based on their behavior and analyze their purchasing
       pattern. 
"""
s = ['tagged', 'product title',  'tagging', 'analyze']
data = data.lower()

skills = []
for i in s:
    if i.lower() in data:
        skills.append(i)
print(skills)

skills = [i for i in s if i.lower() in data]

输出:

['tagged', 'product title', 'tagging', 'analyze']

你要搜索的不是“关键字”,而是短语。一种解决方案是使用正则表达式搜索(一个简单的 substring is in text 构造不会很好地工作,因为当给定“产品标题”时,它可能会 byproduct titles

这应该做到:

import re
[ k for k in skills if re.search( r'\b' + k + r'\b', data, flags=re.IGNORECASE ) ]

2) 如果拆分,则可以在i和i+1索引中搜索匹配项

“目标:”必须在“数据”的每行中 所以我会找到这个词的索引(“Aim:”)

p = "Automatic Product Title Tagging  Aim: To automate the process of product title tagging using manually tagged data."
index = p.find("Aim:") # 33
print(p[33:])
output:
"Aim: To automate the process of product title tagging using manually tagged data."
w_lenght = len("Aim:") # 4 : for exclude word "Aim:"
print(p[37:])
output:
" To automate the process of product title tagging using manually tagged data."

例子:

s = ['tagged', 'product title',  'tagging', 'analyze']
skills = []
for line in data.split("\n"):
    index = line.find("Aim:") + len("Aim:") #4
    if index != -1:
    for word in line[index:].split():
        if word.lower() in s:
            skills.append(word)
            print(word)