Inventing Curriculum using Python and spaCy

" summary

Shows how to build an automated curriculum-design pipeline in Python using spaCy and Textacy for NLP, plus scikit-learn to implement a pointer-generator text summarization model. Uses job-posting data (StackOverflow, Indeed, LinkedIn, Monster) and exam syllabuses to extract subjects and generate syllabus content, then evaluates generated vs. existing curricula with ROUGE to measure industry- vs. higher-education orientation.

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