Automatic Category Tree Creation for Unstructured Data Stocks

The patent segments the data stock into hierarchical categories through automatic category tree creation. The system divides unstructured data into organized groups based on co-occurrence analysis, creating a multi-level structure that enables both efficient processing and easy user navigation through the segmented categories.

The patent introduces an intermediary category tree structure between the raw data and the user interface. This intermediary representation transforms unstructured data into an organized hierarchical form that maintains processing efficiency while significantly improving user understanding and navigation capabilities.

The patent extracts only the most significant words and co-occurrence patterns from the data stock, rather than indexing all words. By identifying and retaining only the key terms that define category structures, the system achieves comprehensive search coverage for meaningful queries while dramatically reducing processing time and computational resource requirements.

The patent changes the parameter of word selection from including all words to including only significant words based on co-occurrence frequency and relevance metrics. This parameter change maintains search reliability for important terms while reducing the overall data volume that requires processing and storage.

The patent enables the system to automatically organize data categories through self-service mechanisms. The category tree is generated autonomously by analyzing co-occurrence patterns in the data, eliminating the need for manual intervention while maintaining high accuracy in the category structure through algorithmic identification of meaningful relationships.

The patent replaces the mechanical manual process of category organization with an automated computational system. The manual labor of analyzing and categorizing data is substituted by algorithmic processes that detect co-occurrences and generate hierarchical structures automatically, reducing system complexity in terms of human operation while maintaining precision.