A textual corpus database for the digital humanities.
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Updated
Jul 26, 2020 - Jupyter Notebook
A textual corpus database for the digital humanities.
A tool for extracting chapters from Gutenberg Project Italian raw text e-books. RegEx are used to match chapter headings and extract the text between them.
Implementation of Distant Reading on Dystopian Literature (2) — Sentiment Analysis and Emotion Classification
This is a "literary style imitation algorithm". The primary purpose is to mimic the style and tone of the original text. It creates new content based on the input text rather than directly copying existing content. It uses Markov chains for sentence generation and the ChatGPT-API for grammar cleanup.
Материалы тьюториала на III Московско-тартуской школе
Explore the Hávamál Interactive Site, an open-source project that combines digital humanities and cultural heritage to present ancient Norse wisdom. Featuring daily stanzas and interactive design, the site highlights themes of Virtue, Folly, and Wisdom while promoting community engagement and cultural preservation through digital storytelling.
Data from Mapping Balzac + Mapping Proust
Implementation of the NACL 2016 Best paper "Unsupervised Learning for Dynamic Fictional Relationships by Iyyer et al"
Complexity Analysis of Literary texts using BERT AND RoBERTa
Jena Corpus of Expository and Fictional Prose; A Corpus of Canonical, Non-Canonical, Non-Fictional Texts
Contains data of the Ficiton4 corpus and for our experiment on literary sentiment evocation
Trope detection using LLaMA: trope - llama
Character Network of Alfred de Musset's play Lorenzaccio
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