文化保障卡用户搜索关键词流行度分析数据

利用算法分析文化保障卡用户的搜索关键词数据，构建关键词流行度指数，为文化活动的策划和资源优化提供数据支持。基于用户的搜索关键词和关键词流行度指数数据，文化服务平台可以为用户提供个性化的文化活动推荐，提升用户体验和满意度。通过对搜索关键词流行度指数数据的进一步分析，文化管理部门能够及时调整文化产品和服务，满足公众的文化需求，提高文化活动的吸引力和参与度。步骤1，从公司文化保障卡服务系统中自动抽取关键字段，包括用户ID、搜索关键词、搜索时间、使用服务类型、TF值、IDF值，清洗数据格式，保证数据质量。
步骤2，对每个关键词进行TF-IDF计算，以评估其在所有搜索中的相对重要性。公式为：TF-IDF=TF*IDF，其中，TF是关键词在文档中出现的频率，IDF是逆文档频率，用于降低常见词的权重。
步骤3，利用时间序列分析，追踪每个关键词的流行度变化，识别趋势和周期性模式，应用指数平滑方法来平滑数据，减少随机波动的影响，为每个关键词输出时间序列分析的权重。
步骤4，根据每个关键词的TF-IDF值和时间序列分析的权重结果，计算每日关键词流行度指数，流行度指数计算公式为：流行度指数=∑[（TF-IDF）×时间序列分析的权重]，考虑特殊事件（如节日、文化活动）对关键词流行度的影响，并进行适当的加权。

This dataset analyzes the search keyword data of Cultural Security Card users via algorithms to construct a keyword popularity index, providing data support for cultural event planning and resource optimization. Based on users' search keywords and the keyword popularity index data, cultural service platforms can deliver personalized cultural activity recommendations to users, improving user experience and satisfaction. Through further analysis of the keyword popularity index data, cultural management departments can timely adjust cultural products and services to meet public cultural demands, enhancing the attractiveness and participation rate of cultural activities.
Step 1: Automatically extract key fields from the company's Cultural Security Card service system, including user ID, search keywords, search time, service type used, TF value, and IDF value. Clean the data format to ensure data quality.
Step 2: Calculate TF-IDF for each keyword to evaluate its relative importance across all searches. The formula is: TF-IDF = TF * IDF, where TF is the frequency of the keyword in the document, and IDF is the inverse document frequency, which is used to reduce the weight of common words.
Step 3: Use time series analysis to track the popularity changes of each keyword, identify trends and periodic patterns, apply exponential smoothing methods to smooth the data and mitigate the impact of random fluctuations, and output the time series analysis weight for each keyword.
Step 4: Calculate the daily keyword popularity index based on the TF-IDF value of each keyword and the weight results from time series analysis. The formula for the popularity index is: Popularity Index = ∑[(TF-IDF) × Time series analysis weight]. Consider the impact of special events (such as festivals, cultural activities) on keyword popularity and conduct appropriate weighting.