The term "keyword categorization" refers to the systematic assignment of keywords to predefined thematic or semantic categories. The purpose of keyword categorization is to better structure content, make relevant information easier to find, and improve the semantic interpretation of search queries. It is commonly used in content management, search engine optimization (SEO), data analysis, and artificial intelligence applications.
Automatic keyword detection: Identification of relevant keywords in texts, documents, or data sources using Natural Language Processing (NLP).
Topic and taxonomy mapping: Assignment of identified keywords to thematic categories or taxonomies (e.g., product groups, business sectors).
Relevance scoring: Evaluating the importance and weighting of keywords within the overall content.
Synonym recognition and grouping: Detection and clustering of related terms or synonyms.
Keyword tagging: Automatic or manual tagging of content with associated categories.
Data visualization: Visualization of keyword categories and their frequencies in dashboards or reports.
Integration with search functions: Enhancing internal or external search by leveraging semantically optimized categories.
