🚀 作者 ：“码上有前”
🚀 文章简介 ：Python
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完整代码

from collections import Counter
from data_keywords import extract_keywords, extract_keywords_from_json

def calculate_probability(list1, list2):
    count_dict = {value1: round(sum(value1 in value2 for value2 in list2) / len(list2), 2) for value1 in list1}
    sorted_dict = dict(sorted(count_dict.items(), key=lambda x: x[1], reverse=True))
    top_three = list(sorted_dict.items())[:3]
    return top_three

# 假设这是给定的关键词列表
given_keywords = ['自营', '赠', '满赠','京东物流','免邮','2免1','2件7.5折','跨店每满','券']
category_given_keywords = ['自营', '赠', '满赠','京东物流','免邮','2免1','2件7.5折','跨店每满','券',"包税","官方立减15%"]
folder_path = './Cosmetic_data/Brand_Classification/brand&details_analysis'
categories_path = "./Cosmetic_data/Makeup_Classification/pcommit&details_analysis"
keyword_column = '关键词'  

new_keyword_list = extract_keywords(folder_path, keyword_column)
categories_keywords_list = extract_keywords_from_json(categories_path, keyword_column)

result = calculate_probability(given_keywords, new_keyword_list)
# print("最高的三个关键词和其概率:", result)
calculate_result = calculate_probability(category_given_keywords, categories_keywords_list)
# print("最高的三个关键词和其概率:", calculate_result)