Intelligent Learning Resource Metadata Extractor

Create a sophisticated Python-based tool for automatically extracting, categorizing, and enriching educational resource metadata using advanced natural language processing techniques. Develop a system capable of parsing diverse content types, generating comprehensive metadata tags, and creating a standardized resource classification framework. Implement using spaCy for text analysis, develop machine learning-based classification models, and create a flexible metadata extraction pipeline.