Tutorial on NE processing for Digital Humanities - DH Utrech 2019
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Updated
Jul 18, 2019 - Jupyter Notebook
Tutorial on NE processing for Digital Humanities - DH Utrech 2019
Small Python wrapper class for the CAB webservice.
Generates structured summaries, timelines, and thematic insights from historical or cultural texts using pattern matching and language models.
A critical Digital Humanities project examining Montesquieu's De l'esprit des lois Book XIX through computational methods that expose the friction between contextual humanistic philosophy and digital infrastructure designed for other purposes.
A study on the historical authenticity of a text. The historical authenticity is evaluated by comparing the frequencies of unigrams, bigrams and trigrams of a given text to the frequencies of the ngrams of texts written in the period of +/- 5 years from the claimed date of the release of the given text and to the frequency of the ngrams of recen…
📜 Transform historical and thematic text into structured data with precision using this Python package, ensuring consistent results with pattern validation.
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