The core function of tags is to identify the category or content of a target, facilitating searching and locating. In different fields, tags have evolved to serve various functions such as identifying information, classifying data, structuring content, conveying information, and guiding behavior.
Identifying Information: Tags are used to uniquely identify objects, such as product labels indicating product name, production date, and other basic information.
Classifying Data: In fields such as data science and content management, tags classify or label data, facilitating algorithm processing, information retrieval, and organization.
Indicators and tags do not exist in isolation in data analysis; rather, they complement and synergize with each other. Indicators provide quantitative basis for tag construction, while tags provide in-depth insights for interpreting indicators. For example, by analyzing a product's sales revenue, a company can understand its market performance; and by combining user tags, the company can further analyze which user groups are more interested in the product, thereby developing more precise marketing strategies.
