Document Sorting Algorithm Using Keyword Ranking and Category

The system automatically retrieves keywords from news documents, obtains their rankings and categories from external sources, and generates sorting results without human intervention. The algorithm serves itself by automatically processing the sorting task that previously required manual editing, thereby eliminating time loss while maintaining the ability to adjust sorting criteria through parameter configuration.

The patent introduces an algorithm as an intermediary between the sorting requirements and the final result. This algorithm objectively processes keyword rankings and categories from external sources, eliminating subjective human bias. The system maintains adaptability by allowing configuration of sorting parameters and weights, while the algorithmic intermediary ensures objective and reliable sorting execution.

The patent segments the complex sorting task into distinct components: keyword extraction from documents, keyword ranking retrieval from search engines, keyword category classification, and final sorting based on weighted combinations of these factors. This segmentation allows the system to handle complex data messages effectively by processing each aspect separately and integrating the results, thereby reducing time consumption while maintaining processing capability.

The patent employs a multi-functional algorithm that performs multiple tasks within a single sorting framework: it extracts keywords, retrieves rankings, determines categories, calculates weighted scores, and generates sorted results. This universal approach handles diverse data types and sorting requirements through one integrated system, improving productivity while managing complexity through functional consolidation rather than separate processing modules.