mchesterkadwell/named-entity-recognition
Notebooks for teaching Named Entity Recognition at the Cultural Heritage Data School, run by Cambridge Digital Humanities
This project helps cultural heritage professionals, researchers, and students automatically identify and categorize key information like people, places, and organizations within historical documents, such as 19th-century letters. You input text documents, and it outputs the identified 'entities' and can visualize them, or link them to existing knowledge bases. It's designed for anyone interested in text analysis, even those without extensive programming experience.
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Use this if you want to learn the basics of Named Entity Recognition to extract structured information from historical texts, without needing to be an expert programmer.
Not ideal if you need a robust, production-ready text analysis tool for large-scale or mission-critical projects, as it's primarily designed as a teaching aid.
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May 04, 2022
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